AIDA |
ACE2004 |
|
0.2538
|
0.1752
|
0.4608
|
0.2032
|
0.1817
|
0.2874
|
0.2159
|
0.1817
|
0.3421
|
0.2673
|
0.1752
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
15,023.1228
|
0.5349
|
0
|
2016-03-04 21:39:33 |
1.2.2 |
AIDA |
ACE2004 |
Entity Recognition |
0.2772
|
0.1913
|
0.5033
|
0.2161
|
0.1926
|
0.3038
|
0.2159
|
0.1817
|
0.3421
|
0.2673
|
0.1752
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
15,023.1228
|
0.5349
|
0
|
2016-03-04 21:39:33 |
1.2.2 |
AIDA |
ACE2004 |
D2KB |
0.6512
|
0.8
|
0.549
|
0.7689
|
0.8802
|
0.7079
|
0.2159
|
0.1817
|
0.3421
|
0.2673
|
0.1752
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
15,023.1228
|
0.5349
|
0
|
2016-03-04 21:39:33 |
1.2.2 |
AIDA |
AIDA/CoNLL-Complete |
|
0.5577
|
0.6492
|
0.4888
|
0.5306
|
0.6344
|
0.4786
|
0.6564
|
0.6358
|
0.7288
|
0.6852
|
0.6492
|
0.7254
|
0
|
0
|
0
|
0
|
0
|
0
|
11,348.5172
|
0.0751
|
1
|
2016-03-05 18:27:18 |
1.2.2 |
AIDA |
AIDA/CoNLL-Complete |
Entity Recognition |
0.8567
|
0.9973
|
0.7509
|
0.8285
|
0.9941
|
0.7455
|
0.6564
|
0.6358
|
0.7288
|
0.6852
|
0.6492
|
0.7254
|
0
|
0
|
0
|
0
|
0
|
0
|
11,348.5172
|
0.0751
|
0
|
2016-03-05 18:27:18 |
1.2.2 |
AIDA |
AIDA/CoNLL-Complete |
D2KB |
0.5584
|
0.6562
|
0.4859
|
0.5299
|
0.644
|
0.4748
|
0.6564
|
0.6358
|
0.7288
|
0.6852
|
0.6492
|
0.7254
|
0
|
0
|
0
|
0
|
0
|
0
|
11,348.5172
|
0.0751
|
0
|
2016-03-05 18:27:18 |
1.2.2 |
AIDA |
AIDA/CoNLL-Test A |
|
0.5534
|
0.6427
|
0.4859
|
0.5079
|
0.5979
|
0.4591
|
0.6184
|
0.5979
|
0.6756
|
0.6684
|
0.6427
|
0.6961
|
0
|
0
|
0
|
0
|
0
|
0
|
12,753.1814
|
0.0853
|
1
|
2016-03-05 06:11:52 |
1.2.2 |
AIDA |
AIDA/CoNLL-Test A |
Entity Recognition |
0.8611
|
0.9949
|
0.759
|
0.8367
|
0.9889
|
0.7575
|
0.6184
|
0.5979
|
0.6756
|
0.6684
|
0.6427
|
0.6961
|
0
|
0
|
0
|
0
|
0
|
0
|
12,753.1814
|
0.0853
|
0
|
2016-03-05 06:11:52 |
1.2.2 |
AIDA |
AIDA/CoNLL-Test A |
D2KB |
0.5562
|
0.654
|
0.4839
|
0.5103
|
0.6118
|
0.4563
|
0.6184
|
0.5979
|
0.6756
|
0.6684
|
0.6427
|
0.6961
|
0
|
0
|
0
|
0
|
0
|
0
|
12,753.1814
|
0.0853
|
0
|
2016-03-05 06:11:52 |
1.2.2 |
AIDA |
AIDA/CoNLL-Test B |
|
0.5254
|
0.626
|
0.4526
|
0.5153
|
0.6266
|
0.4563
|
0.6399
|
0.6309
|
0.6901
|
0.6566
|
0.626
|
0.6904
|
0
|
0
|
0
|
0
|
0
|
0
|
10,465.8355
|
0.0793
|
0
|
2016-03-05 12:05:25 |
1.2.2 |
AIDA |
AIDA/CoNLL-Test B |
Entity Recognition |
0.8328
|
0.9904
|
0.7185
|
0.8077
|
0.9822
|
0.715
|
0.6399
|
0.6309
|
0.6901
|
0.6566
|
0.626
|
0.6904
|
0
|
0
|
0
|
0
|
0
|
0
|
10,465.8355
|
0.0793
|
0
|
2016-03-05 12:05:25 |
1.2.2 |
AIDA |
AIDA/CoNLL-Test B |
D2KB |
0.5282
|
0.6404
|
0.4494
|
0.5186
|
0.6472
|
0.4522
|
0.6399
|
0.6309
|
0.6901
|
0.6566
|
0.626
|
0.6904
|
0
|
0
|
0
|
0
|
0
|
0
|
10,465.8355
|
0.0793
|
0
|
2016-03-05 12:05:25 |
1.2.2 |
AIDA |
AIDA/CoNLL-Training |
|
0.5667
|
0.6576
|
0.4978
|
0.5395
|
0.6458
|
0.4879
|
0.6694
|
0.6469
|
0.7498
|
0.6966
|
0.6576
|
0.7406
|
0
|
0
|
0
|
0
|
0
|
0
|
11,169.8044
|
0.0751
|
0
|
2016-03-05 18:26:43 |
1.2.2 |
AIDA |
AIDA/CoNLL-Training |
Entity Recognition |
0.8613
|
0.9994
|
0.7567
|
0.8318
|
0.9982
|
0.7503
|
0.6694
|
0.6469
|
0.7498
|
0.6966
|
0.6576
|
0.7406
|
0
|
0
|
0
|
0
|
0
|
0
|
11,169.8044
|
0.0751
|
0
|
2016-03-05 18:26:43 |
1.2.2 |
AIDA |
AIDA/CoNLL-Training |
D2KB |
0.5661
|
0.6614
|
0.4948
|
0.5372
|
0.6516
|
0.4841
|
0.6694
|
0.6469
|
0.7498
|
0.6966
|
0.6576
|
0.7406
|
0
|
0
|
0
|
0
|
0
|
0
|
11,169.8044
|
0.0751
|
0
|
2016-03-05 18:26:43 |
1.2.2 |
AIDA |
AQUAINT |
|
0.3487
|
0.3342
|
0.3645
|
0.3228
|
0.3526
|
0.3592
|
0.3338
|
0.3526
|
0.3802
|
0.3591
|
0.3342
|
0.388
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
9,564.02
|
0
|
0
|
2016-03-05 21:45:59 |
1.2.2 |
AIDA |
AQUAINT |
Entity Recognition |
0.4408
|
0.4224
|
0.4608
|
0.4067
|
0.4425
|
0.4505
|
0.3338
|
0.3526
|
0.3802
|
0.3591
|
0.3342
|
0.388
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
9,564.02
|
0
|
0
|
2016-03-05 21:45:59 |
1.2.2 |
AIDA |
AQUAINT |
D2KB |
0.4896
|
0.8849
|
0.3384
|
0.4628
|
0.8887
|
0.3344
|
0.3338
|
0.3526
|
0.3802
|
0.3591
|
0.3342
|
0.388
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
9,564.02
|
0
|
0
|
2016-03-05 21:45:59 |
1.2.2 |
AIDA |
DBpediaSpotlight |
|
0.2071
|
0.6212
|
0.1242
|
0.1566
|
0.3276
|
0.1127
|
0.1566
|
0.3276
|
0.1127
|
0.2071
|
0.6212
|
0.1242
|
|
|
|
|
|
|
966.2414
|
0
|
0
|
2016-03-05 22:02:57 |
1.2.2 |
AIDA |
DBpediaSpotlight |
Entity Recognition |
0.2879
|
0.8636
|
0.1727
|
0.2286
|
0.4741
|
0.1642
|
0.1566
|
0.3276
|
0.1127
|
0.2071
|
0.6212
|
0.1242
|
|
|
|
|
|
|
966.2414
|
0
|
0
|
2016-03-05 22:02:57 |
1.2.2 |
AIDA |
DBpediaSpotlight |
D2KB |
0.1989
|
0.881
|
0.1121
|
0.1452
|
0.3506
|
0.1015
|
0.1566
|
0.3276
|
0.1127
|
0.2071
|
0.6212
|
0.1242
|
|
|
|
|
|
|
966.2414
|
0
|
0
|
2016-03-05 22:02:57 |
1.2.2 |
AIDA |
IITB |
|
0.1323
|
0.5574
|
0.075
|
0.1496
|
0.5063
|
0.0943
|
0.2209
|
0.5063
|
0.1585
|
0.2033
|
0.5574
|
0.1243
|
0
|
0
|
0
|
0
|
0
|
0
|
13,796.6117
|
0.0878
|
1
|
2016-03-06 20:15:20 |
1.2.2 |
AIDA |
IITB |
Entity Recognition |
0.2124
|
0.8885
|
0.1206
|
0.2348
|
0.8522
|
0.1469
|
0.2209
|
0.5063
|
0.1585
|
0.2033
|
0.5574
|
0.1243
|
0
|
0
|
0
|
0
|
0
|
0
|
13,796.6117
|
0.0878
|
0
|
2016-03-06 20:15:20 |
1.2.2 |
AIDA |
IITB |
D2KB |
0.1225
|
0.7161
|
0.067
|
0.1402
|
0.6069
|
0.0849
|
0.2209
|
0.5063
|
0.1585
|
0.2033
|
0.5574
|
0.1243
|
0
|
0
|
0
|
0
|
0
|
0
|
13,796.6117
|
0.0878
|
0
|
2016-03-06 20:15:20 |
1.2.2 |
AIDA |
KORE50 |
|
0.5749
|
0.6893
|
0.4931
|
0.5065
|
0.5977
|
0.458
|
0.5065
|
0.5977
|
0.458
|
0.5749
|
0.6893
|
0.4931
|
|
|
|
|
|
|
1,621.9592
|
0
|
1
|
2016-03-06 03:04:43 |
1.2.2 |
AIDA |
KORE50 |
Entity Recognition |
0.7935
|
0.9515
|
0.6806
|
0.7332
|
0.8747
|
0.668
|
0.5065
|
0.5977
|
0.458
|
0.5749
|
0.6893
|
0.4931
|
|
|
|
|
|
|
1,621.9592
|
0
|
0
|
2016-03-06 03:04:43 |
1.2.2 |
AIDA |
KORE50 |
D2KB |
0.5714
|
0.7234
|
0.4722
|
0.4898
|
0.5843
|
0.438
|
0.5065
|
0.5977
|
0.458
|
0.5749
|
0.6893
|
0.4931
|
|
|
|
|
|
|
1,621.9592
|
0
|
0
|
2016-03-06 03:04:43 |
1.2.2 |
AIDA |
Microposts2014-Test |
|
0.2707
|
0.5252
|
0.1823
|
0.5047
|
0.5428
|
0.4914
|
0.5089
|
0.5466
|
0.4958
|
0.2725
|
0.5252
|
0.1839
|
0
|
0
|
0
|
0
|
0
|
0
|
358.5664
|
0.1531
|
1
|
2016-03-06 14:19:28 |
1.2.2 |
AIDA |
Microposts2014-Test |
Entity Recognition |
0.3732
|
0.6972
|
0.2548
|
0.5533
|
0.6075
|
0.5341
|
0.5089
|
0.5466
|
0.4958
|
0.2725
|
0.5252
|
0.1839
|
0
|
0
|
0
|
0
|
0
|
0
|
358.5664
|
0.1531
|
0
|
2016-03-06 14:19:28 |
1.2.2 |
AIDA |
Microposts2014-Test |
D2KB |
0.2755
|
0.7645
|
0.168
|
0.5023
|
0.5403
|
0.4877
|
0.5089
|
0.5466
|
0.4958
|
0.2725
|
0.5252
|
0.1839
|
0
|
0
|
0
|
0
|
0
|
0
|
358.5664
|
0.1531
|
0
|
2016-03-06 14:19:28 |
1.2.2 |
AIDA |
Microposts2014-Train |
|
0.3748
|
0.6744
|
0.2595
|
0.5036
|
0.5778
|
0.476
|
0.506
|
0.5791
|
0.4796
|
0.3769
|
0.6744
|
0.2615
|
0
|
0
|
0
|
0
|
0
|
0
|
509.8897
|
0.1326
|
0
|
2016-03-07 04:29:17 |
1.2.2 |
AIDA |
Microposts2014-Train |
Entity Recognition |
0.5237
|
0.9269
|
0.365
|
0.5804
|
0.676
|
0.545
|
0.506
|
0.5791
|
0.4796
|
0.3769
|
0.6744
|
0.2615
|
0
|
0
|
0
|
0
|
0
|
0
|
509.8897
|
0.1326
|
0
|
2016-03-07 04:29:17 |
1.2.2 |
AIDA |
Microposts2014-Train |
D2KB |
0.3725
|
0.7805
|
0.2446
|
0.5018
|
0.5832
|
0.4707
|
0.506
|
0.5791
|
0.4796
|
0.3769
|
0.6744
|
0.2615
|
0
|
0
|
0
|
0
|
0
|
0
|
509.8897
|
0.1326
|
0
|
2016-03-07 04:29:17 |
1.2.2 |
AIDA |
MSNBC |
|
0.6203
|
0.7448
|
0.5315
|
0.5984
|
0.7546
|
0.5135
|
0.6587
|
0.7546
|
0.6011
|
0.6792
|
0.7448
|
0.6242
|
0
|
0
|
0
|
0
|
0
|
0
|
17,792.85
|
0.1836
|
0
|
2016-03-06 07:57:59 |
1.2.2 |
AIDA |
MSNBC |
Entity Recognition |
0.8379
|
0.9269
|
0.7644
|
0.7842
|
0.9243
|
0.705
|
0.6587
|
0.7546
|
0.6011
|
0.6792
|
0.7448
|
0.6242
|
0
|
0
|
0
|
0
|
0
|
0
|
17,792.85
|
0.1836
|
0
|
2016-03-06 07:57:59 |
1.2.2 |
AIDA |
MSNBC |
D2KB |
0.6372
|
0.7754
|
0.5408
|
0.6182
|
0.8131
|
0.5173
|
0.6587
|
0.7546
|
0.6011
|
0.6792
|
0.7448
|
0.6242
|
0
|
0
|
0
|
0
|
0
|
0
|
17,792.85
|
0.1836
|
0
|
2016-03-06 07:57:59 |
1.2.2 |
AIDA |
N3-Reuters-128 |
|
0.397
|
0.4916
|
0.333
|
0.3247
|
0.4016
|
0.311
|
0.445
|
0.4719
|
0.463
|
0.4823
|
0.4916
|
0.4733
|
0
|
0
|
0
|
0
|
0
|
0
|
4,126.5
|
0.1255
|
0
|
2016-03-07 03:50:03 |
1.2.2 |
AIDA |
N3-Reuters-128 |
Entity Recognition |
0.6186
|
0.7393
|
0.5318
|
0.4847
|
0.6314
|
0.4495
|
0.445
|
0.4719
|
0.463
|
0.4823
|
0.4916
|
0.4733
|
0
|
0
|
0
|
0
|
0
|
0
|
4,126.5
|
0.1255
|
0
|
2016-03-07 03:50:03 |
1.2.2 |
AIDA |
N3-Reuters-128 |
D2KB |
0.4363
|
0.6992
|
0.317
|
0.3601
|
0.5148
|
0.2992
|
0.445
|
0.4719
|
0.463
|
0.4823
|
0.4916
|
0.4733
|
0
|
0
|
0
|
0
|
0
|
0
|
4,126.5
|
0.1255
|
0
|
2016-03-07 03:50:03 |
1.2.2 |
AIDA |
N3-RSS-500 |
|
0.3487
|
0.435
|
0.291
|
0.2967
|
0.3494
|
0.291
|
0.4973
|
0.5034
|
0.54
|
0.4911
|
0.435
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
1,280.26
|
0.6116
|
0
|
2016-03-07 00:07:22 |
1.2.2 |
AIDA |
N3-RSS-500 |
Entity Recognition |
0.5028
|
0.4735
|
0.536
|
0.4756
|
0.5079
|
0.536
|
0.4973
|
0.5034
|
0.54
|
0.4911
|
0.435
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
1,280.26
|
0.6116
|
0
|
2016-03-07 00:07:22 |
1.2.2 |
AIDA |
N3-RSS-500 |
D2KB |
0.4388
|
0.6708
|
0.326
|
0.368
|
0.452
|
0.326
|
0.4973
|
0.5034
|
0.54
|
0.4911
|
0.435
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
1,280.26
|
0.6116
|
0
|
2016-03-07 00:07:22 |
1.2.2 |
AIDA |
OKE 2015 Task 1 evaluation dataset |
|
0.5362
|
0.7654
|
0.4127
|
0.5115
|
0.7433
|
0.4166
|
0.5827
|
0.7433
|
0.5232
|
0.6343
|
0.7654
|
0.5415
|
0
|
0
|
0
|
0
|
0
|
0
|
2,127.74
|
0.132
|
1
|
2016-03-07 05:06:13 |
1.2.2 |
AIDA |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.6712
|
0.9428
|
0.5211
|
0.6453
|
0.9164
|
0.5308
|
0.5827
|
0.7433
|
0.5232
|
0.6343
|
0.7654
|
0.5415
|
0
|
0
|
0
|
0
|
0
|
0
|
2,127.74
|
0.132
|
0
|
2016-03-07 05:06:13 |
1.2.2 |
AIDA |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5332
|
0.8286
|
0.3931
|
0.5051
|
0.7858
|
0.3977
|
0.5827
|
0.7433
|
0.5232
|
0.6343
|
0.7654
|
0.5415
|
0
|
0
|
0
|
0
|
0
|
0
|
2,127.74
|
0.132
|
0
|
2016-03-07 05:06:13 |
1.2.2 |
AIDA |
OKE 2015 Task 1 gold standard sample |
|
0.5848
|
0.7606
|
0.4751
|
0.5549
|
0.7461
|
0.4821
|
0.6187
|
0.7777
|
0.5613
|
0.6291
|
0.7606
|
0.5364
|
0
|
0
|
0
|
0
|
0
|
0
|
1,942.7579
|
0.2516
|
0
|
2016-03-07 05:28:17 |
1.2.2 |
AIDA |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.7077
|
0.8855
|
0.5894
|
0.6638
|
0.8568
|
0.5924
|
0.6187
|
0.7777
|
0.5613
|
0.6291
|
0.7606
|
0.5364
|
0
|
0
|
0
|
0
|
0
|
0
|
1,942.7579
|
0.2516
|
0
|
2016-03-07 05:28:17 |
1.2.2 |
AIDA |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.56
|
0.8805
|
0.4106
|
0.5211
|
0.7895
|
0.4165
|
0.6187
|
0.7777
|
0.5613
|
0.6291
|
0.7606
|
0.5364
|
0
|
0
|
0
|
0
|
0
|
0
|
1,942.7579
|
0.2516
|
0
|
2016-03-07 05:28:17 |
1.2.2 |
AIDA |
Bengal Star 100 (uploaded) |
|
0.6745
|
0.7159
|
0.6377
|
0.6628
|
0.7886
|
0.6473
|
0.6628
|
0.7886
|
0.6473
|
0.6745
|
0.7159
|
0.6377
|
|
|
|
|
|
|
2,353.45
|
0.4401
|
0
|
2016-03-09 16:34:32 |
1.2.2 |
AIDA |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.7631
|
0.7332
|
0.7955
|
0.7605
|
0.8174
|
0.802
|
0.6628
|
0.7886
|
0.6473
|
0.6745
|
0.7159
|
0.6377
|
|
|
|
|
|
|
2,353.45
|
0.4401
|
0
|
2016-03-09 16:34:32 |
1.2.2 |
AIDA |
Bengal Star 100 (uploaded) |
D2KB |
0.6008
|
0.96
|
0.4372
|
0.5438
|
0.77
|
0.4573
|
0.6628
|
0.7886
|
0.6473
|
0.6745
|
0.7159
|
0.6377
|
|
|
|
|
|
|
2,353.45
|
0.4401
|
0
|
2016-03-09 16:34:32 |
1.2.2 |
AIDA |
Bengal Star Para 100 (uploaded) |
|
0.6612
|
0.6708
|
0.6518
|
0.6377
|
0.7203
|
0.6534
|
0.6377
|
0.7203
|
0.6534
|
0.6612
|
0.6708
|
0.6518
|
|
|
|
|
|
|
1,671.36
|
0.3244
|
0
|
2016-03-09 16:57:03 |
1.2.2 |
AIDA |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7604
|
0.7442
|
0.7773
|
0.7395
|
0.8006
|
0.7768
|
0.6377
|
0.7203
|
0.6534
|
0.6612
|
0.6708
|
0.6518
|
|
|
|
|
|
|
1,671.36
|
0.3244
|
0
|
2016-03-09 16:57:03 |
1.2.2 |
AIDA |
Bengal Star Para 100 (uploaded) |
D2KB |
0.5863
|
0.9543
|
0.4231
|
0.5201
|
0.7433
|
0.4363
|
0.6377
|
0.7203
|
0.6534
|
0.6612
|
0.6708
|
0.6518
|
|
|
|
|
|
|
1,671.36
|
0.3244
|
0
|
2016-03-09 16:57:03 |
1.2.2 |
AIDA |
Bengal Sym 100 (uploaded) |
|
0.6515
|
0.8314
|
0.5356
|
0.6255
|
0.8481
|
0.545
|
0.6255
|
0.8481
|
0.545
|
0.6515
|
0.8314
|
0.5356
|
|
|
|
|
|
|
2,314.94
|
0.7986
|
0
|
2016-03-17 16:51:13 |
1.2.2 |
AIDA |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7416
|
0.7903
|
0.6985
|
0.7202
|
0.8678
|
0.703
|
0.6255
|
0.8481
|
0.545
|
0.6515
|
0.8314
|
0.5356
|
|
|
|
|
|
|
2,314.94
|
0.7986
|
0
|
2016-03-17 16:51:13 |
1.2.2 |
AIDA |
Bengal Sym 100 (uploaded) |
D2KB |
0.5839
|
0.991
|
0.4139
|
0.52
|
0.8117
|
0.4209
|
0.6255
|
0.8481
|
0.545
|
0.6515
|
0.8314
|
0.5356
|
|
|
|
|
|
|
2,314.94
|
0.7986
|
0
|
2016-03-17 16:51:13 |
1.2.2 |
AIDA |
Bengal Sym Para 100 (uploaded) |
|
0.6224
|
0.8241
|
0.5
|
0.5802
|
0.7781
|
0.5086
|
0.5802
|
0.7781
|
0.5086
|
0.6224
|
0.8241
|
0.5
|
|
|
|
|
|
|
1,413.68
|
0.7944
|
0
|
2016-03-17 16:51:15 |
1.2.2 |
AIDA |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7242
|
0.7797
|
0.676
|
0.6922
|
0.8139
|
0.6834
|
0.5802
|
0.7781
|
0.5086
|
0.6224
|
0.8241
|
0.5
|
|
|
|
|
|
|
1,413.68
|
0.7944
|
0
|
2016-03-17 16:51:15 |
1.2.2 |
AIDA |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.5572
|
0.9904
|
0.3876
|
0.4834
|
0.7417
|
0.394
|
0.5802
|
0.7781
|
0.5086
|
0.6224
|
0.8241
|
0.5
|
|
|
|
|
|
|
1,413.68
|
0.7944
|
0
|
2016-03-17 16:51:15 |
1.2.2 |
AIDA |
Bengal Path 100 (uploaded) |
|
0.6783
|
0.6757
|
0.6809
|
0.6378
|
0.6812
|
0.6501
|
0.6378
|
0.6812
|
0.6501
|
0.6783
|
0.6757
|
0.6809
|
|
|
|
|
|
|
2,557.91
|
0.0803
|
0
|
2016-03-09 16:43:26 |
1.2.2 |
AIDA |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.809
|
0.9019
|
0.7335
|
0.7536
|
0.8821
|
0.7111
|
0.6378
|
0.6812
|
0.6501
|
0.6783
|
0.6757
|
0.6809
|
|
|
|
|
|
|
2,557.91
|
0.0803
|
0
|
2016-03-09 16:43:26 |
1.2.2 |
AIDA |
Bengal Path 100 (uploaded) |
D2KB |
0.6768
|
0.9779
|
0.5175
|
0.5986
|
0.8229
|
0.5032
|
0.6378
|
0.6812
|
0.6501
|
0.6783
|
0.6757
|
0.6809
|
|
|
|
|
|
|
2,557.91
|
0.0803
|
0
|
2016-03-09 16:43:26 |
1.2.2 |
AIDA |
Bengal Path Para 100 (uploaded) |
|
0.6693
|
0.6773
|
0.6615
|
0.6251
|
0.6914
|
0.6282
|
0.6251
|
0.6914
|
0.6282
|
0.6693
|
0.6773
|
0.6615
|
|
|
|
|
|
|
2,028.48
|
0.0804
|
0
|
2016-03-09 16:57:28 |
1.2.2 |
AIDA |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7922
|
0.8988
|
0.7082
|
0.7266
|
0.8699
|
0.6823
|
0.6251
|
0.6914
|
0.6282
|
0.6693
|
0.6773
|
0.6615
|
|
|
|
|
|
|
2,028.48
|
0.0804
|
0
|
2016-03-09 16:57:28 |
1.2.2 |
AIDA |
Bengal Path Para 100 (uploaded) |
D2KB |
0.6615
|
0.9922
|
0.4961
|
0.5731
|
0.8078
|
0.4777
|
0.6251
|
0.6914
|
0.6282
|
0.6693
|
0.6773
|
0.6615
|
|
|
|
|
|
|
2,028.48
|
0.0804
|
0
|
2016-03-09 16:57:28 |
1.2.2 |
AIDA |
Bengal Hybrid 100 (uploaded) |
|
0.7101
|
0.6743
|
0.75
|
0.6962
|
0.7105
|
0.7405
|
0.6962
|
0.7105
|
0.7405
|
0.7101
|
0.6743
|
0.75
|
|
|
|
|
|
|
3,466.32
|
0.0802
|
0
|
2016-03-11 14:03:53 |
1.2.2 |
AIDA |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.835
|
0.8505
|
0.8199
|
0.8154
|
0.8745
|
0.8223
|
0.6962
|
0.7105
|
0.7405
|
0.7101
|
0.6743
|
0.75
|
|
|
|
|
|
|
3,466.32
|
0.0802
|
0
|
2016-03-11 14:03:53 |
1.2.2 |
AIDA |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.6978
|
0.9922
|
0.5381
|
0.6181
|
0.8317
|
0.5212
|
0.6962
|
0.7105
|
0.7405
|
0.7101
|
0.6743
|
0.75
|
|
|
|
|
|
|
3,466.32
|
0.0802
|
0
|
2016-03-11 14:03:53 |
1.2.2 |
AIDA |
Bengal Hybrid Para 100 (uploaded) |
|
0.686
|
0.6694
|
0.7034
|
0.666
|
0.69
|
0.7041
|
0.666
|
0.69
|
0.7041
|
0.686
|
0.6694
|
0.7034
|
|
|
|
|
|
|
3,484.9697
|
0.1949
|
1
|
2016-03-11 14:03:53 |
1.2.2 |
AIDA |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.8044
|
0.8458
|
0.7669
|
0.7831
|
0.8524
|
0.7839
|
0.666
|
0.69
|
0.7041
|
0.686
|
0.6694
|
0.7034
|
|
|
|
|
|
|
3,484.9697
|
0.1949
|
0
|
2016-03-11 14:03:53 |
1.2.2 |
AIDA |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.6601
|
0.9957
|
0.4936
|
0.5771
|
0.79
|
0.485
|
0.666
|
0.69
|
0.7041
|
0.686
|
0.6694
|
0.7034
|
|
|
|
|
|
|
3,484.9697
|
0.1949
|
0
|
2016-03-11 14:03:53 |
1.2.2 |
AIDA |
Bengal Summary 100 (uploaded) |
|
0.6697
|
0.646
|
0.6952
|
0.6062
|
0.6428
|
0.6335
|
0.6062
|
0.6428
|
0.6335
|
0.6697
|
0.646
|
0.6952
|
|
|
|
|
|
|
2,302.46
|
0.1235
|
0
|
2016-03-17 16:44:25 |
1.2.2 |
AIDA |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7612
|
0.7395
|
0.7841
|
0.7069
|
0.7432
|
0.7365
|
0.6062
|
0.6428
|
0.6335
|
0.6697
|
0.646
|
0.6952
|
|
|
|
|
|
|
2,302.46
|
0.1235
|
0
|
2016-03-17 16:44:25 |
1.2.2 |
AIDA |
Bengal Summary 100 (uploaded) |
D2KB |
0.6929
|
1
|
0.5302
|
0.555
|
0.77
|
0.4651
|
0.6062
|
0.6428
|
0.6335
|
0.6697
|
0.646
|
0.6952
|
|
|
|
|
|
|
2,302.46
|
0.1235
|
0
|
2016-03-17 16:44:25 |
1.2.2 |
AIDA |
Bengal Summary Para 100 (uploaded) |
|
0.6716
|
0.641
|
0.7053
|
0.602
|
0.642
|
0.6308
|
0.602
|
0.642
|
0.6308
|
0.6716
|
0.641
|
0.7053
|
|
|
|
|
|
|
2,421.5
|
0.1246
|
0
|
2016-03-17 16:44:35 |
1.2.2 |
AIDA |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7583
|
0.7318
|
0.7868
|
0.702
|
0.743
|
0.73
|
0.602
|
0.642
|
0.6308
|
0.6716
|
0.641
|
0.7053
|
|
|
|
|
|
|
2,421.5
|
0.1246
|
0
|
2016-03-17 16:44:35 |
1.2.2 |
AIDA |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.6791
|
1
|
0.5141
|
0.5457
|
0.77
|
0.454
|
0.602
|
0.642
|
0.6308
|
0.6716
|
0.641
|
0.7053
|
|
|
|
|
|
|
2,421.5
|
0.1246
|
0
|
2016-03-17 16:44:35 |
1.2.2 |
Babelfy |
ACE2004 |
|
0.1333
|
0.1038
|
0.1863
|
0.0911
|
0.0867
|
0.1042
|
0.0974
|
0.0868
|
0.1226
|
0.1429
|
0.104
|
0.228
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
1,075.9825
|
0.9912
|
0
|
2016-03-04 22:11:27 |
1.2.2 |
Babelfy |
ACE2004 |
Entity Recognition |
0.1855
|
0.1189
|
0.4216
|
0.1512
|
0.1361
|
0.2395
|
0.0974
|
0.0868
|
0.1226
|
0.1429
|
0.104
|
0.228
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
1,075.9825
|
0.9912
|
0
|
2016-03-04 22:11:27 |
1.2.2 |
Babelfy |
ACE2004 |
D2KB |
0.5328
|
0.6802
|
0.4379
|
0.6857
|
0.7848
|
0.6367
|
0.0974
|
0.0868
|
0.1226
|
0.1429
|
0.104
|
0.228
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
1,075.9825
|
0.9912
|
0
|
2016-03-04 22:11:27 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Complete |
|
0.349
|
0.3157
|
0.3902
|
0.3046
|
0.2859
|
0.3556
|
0.3506
|
0.2853
|
0.5384
|
0.4073
|
0.3148
|
0.5765
|
0.0625
|
0.084
|
0.0599
|
0.0103
|
0.8429
|
0.0052
|
678.8585
|
0.3687
|
1
|
2016-03-05 19:34:47 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Complete |
Entity Recognition |
0.6077
|
0.5298
|
0.7124
|
0.5803
|
0.53
|
0.7013
|
0.3506
|
0.2853
|
0.5384
|
0.4073
|
0.3148
|
0.5765
|
0.0625
|
0.084
|
0.0599
|
0.0103
|
0.8429
|
0.0052
|
678.8585
|
0.3687
|
0
|
2016-03-05 19:34:47 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Complete |
D2KB |
0.497
|
0.6481
|
0.403
|
0.4361
|
0.5949
|
0.3648
|
0.3506
|
0.2853
|
0.5384
|
0.4073
|
0.3148
|
0.5765
|
0.0625
|
0.084
|
0.0599
|
0.0103
|
0.8429
|
0.0052
|
678.8585
|
0.3687
|
0
|
2016-03-05 19:34:47 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Test A |
|
0.3537
|
0.3172
|
0.3999
|
0.3072
|
0.2854
|
0.3608
|
0.3499
|
0.2853
|
0.5269
|
0.4077
|
0.3168
|
0.5717
|
0.0616
|
0.0741
|
0.061
|
0.0045
|
0.5714
|
0.0022
|
933.1389
|
0.3642
|
0
|
2016-03-05 07:30:12 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Test A |
Entity Recognition |
0.6121
|
0.5384
|
0.7093
|
0.5966
|
0.554
|
0.7034
|
0.3499
|
0.2853
|
0.5269
|
0.4077
|
0.3168
|
0.5717
|
0.0616
|
0.0741
|
0.061
|
0.0045
|
0.5714
|
0.0022
|
933.1389
|
0.3642
|
0
|
2016-03-05 07:30:12 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Test A |
D2KB |
0.5042
|
0.6533
|
0.4105
|
0.4393
|
0.5981
|
0.368
|
0.3499
|
0.2853
|
0.5269
|
0.4077
|
0.3168
|
0.5717
|
0.0616
|
0.0741
|
0.061
|
0.0045
|
0.5714
|
0.0022
|
933.1389
|
0.3642
|
0
|
2016-03-05 07:30:12 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Test B |
|
0.3379
|
0.296
|
0.3937
|
0.3031
|
0.2759
|
0.3641
|
0.347
|
0.2751
|
0.5458
|
0.394
|
0.2944
|
0.5956
|
0.066
|
0.0952
|
0.0621
|
0.0184
|
0.9
|
0.0093
|
609.4026
|
0.325
|
0
|
2016-03-05 12:44:54 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Test B |
Entity Recognition |
0.6213
|
0.546
|
0.7208
|
0.5932
|
0.5476
|
0.7024
|
0.347
|
0.2751
|
0.5458
|
0.394
|
0.2944
|
0.5956
|
0.066
|
0.0952
|
0.0621
|
0.0184
|
0.9
|
0.0093
|
609.4026
|
0.325
|
0
|
2016-03-05 12:44:54 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Test B |
D2KB |
0.4824
|
0.6197
|
0.3949
|
0.4356
|
0.5882
|
0.3629
|
0.347
|
0.2751
|
0.5458
|
0.394
|
0.2944
|
0.5956
|
0.066
|
0.0952
|
0.0621
|
0.0184
|
0.9
|
0.0093
|
609.4026
|
0.325
|
0
|
2016-03-05 12:44:54 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Training |
|
0.3514
|
0.3173
|
0.3937
|
0.3045
|
0.2842
|
0.3573
|
0.3511
|
0.2835
|
0.5469
|
0.4104
|
0.3165
|
0.5834
|
0.0618
|
0.0825
|
0.0591
|
0.0093
|
0.878
|
0.0047
|
762.2286
|
0.3687
|
1
|
2016-03-05 19:33:25 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Training |
Entity Recognition |
0.6039
|
0.5258
|
0.7091
|
0.5738
|
0.5224
|
0.6985
|
0.3511
|
0.2835
|
0.5469
|
0.4104
|
0.3165
|
0.5834
|
0.0618
|
0.0825
|
0.0591
|
0.0093
|
0.878
|
0.0047
|
762.2286
|
0.3687
|
0
|
2016-03-05 19:33:25 |
1.2.2 |
Babelfy |
AIDA/CoNLL-Training |
D2KB |
0.4989
|
0.6547
|
0.403
|
0.4357
|
0.5969
|
0.3644
|
0.3511
|
0.2835
|
0.5469
|
0.4104
|
0.3165
|
0.5834
|
0.0618
|
0.0825
|
0.0591
|
0.0093
|
0.878
|
0.0047
|
762.2286
|
0.3687
|
0
|
2016-03-05 19:33:25 |
1.2.2 |
Babelfy |
AQUAINT |
|
0.2641
|
0.2494
|
0.2806
|
0.2552
|
0.262
|
0.2839
|
0.2645
|
0.2624
|
0.3024
|
0.2722
|
0.25
|
0.2987
|
0.46
|
0.46
|
0.46
|
0
|
0
|
0
|
546.16
|
0.5754
|
0
|
2016-03-05 22:01:52 |
1.2.2 |
Babelfy |
AQUAINT |
Entity Recognition |
0.3558
|
0.3143
|
0.4099
|
0.3369
|
0.3148
|
0.4059
|
0.2645
|
0.2624
|
0.3024
|
0.2722
|
0.25
|
0.2987
|
0.46
|
0.46
|
0.46
|
0
|
0
|
0
|
546.16
|
0.5754
|
0
|
2016-03-05 22:01:52 |
1.2.2 |
Babelfy |
AQUAINT |
D2KB |
0.4706
|
0.7871
|
0.3356
|
0.4461
|
0.7722
|
0.3308
|
0.2645
|
0.2624
|
0.3024
|
0.2722
|
0.25
|
0.2987
|
0.46
|
0.46
|
0.46
|
0
|
0
|
0
|
546.16
|
0.5754
|
0
|
2016-03-05 22:01:52 |
1.2.2 |
Babelfy |
DBpediaSpotlight |
|
0.1463
|
0.2222
|
0.1091
|
0.0998
|
0.1626
|
0.0939
|
0.0998
|
0.1626
|
0.0939
|
0.1463
|
0.2222
|
0.1091
|
|
|
|
|
|
|
66.4483
|
0.3216
|
0
|
2016-03-05 22:10:59 |
1.2.2 |
Babelfy |
DBpediaSpotlight |
Entity Recognition |
0.3226
|
0.4819
|
0.2424
|
0.2411
|
0.3765
|
0.2175
|
0.0998
|
0.1626
|
0.0939
|
0.1463
|
0.2222
|
0.1091
|
|
|
|
|
|
|
66.4483
|
0.3216
|
0
|
2016-03-05 22:10:59 |
1.2.2 |
Babelfy |
DBpediaSpotlight |
D2KB |
0.1641
|
0.5333
|
0.097
|
0.1371
|
0.3307
|
0.0977
|
0.0998
|
0.1626
|
0.0939
|
0.1463
|
0.2222
|
0.1091
|
|
|
|
|
|
|
66.4483
|
0.3216
|
0
|
2016-03-05 22:10:59 |
1.2.2 |
Babelfy |
IITB |
|
0.1284
|
0.254
|
0.0859
|
0.1368
|
0.2369
|
0.1035
|
0.1878
|
0.2367
|
0.1754
|
0.1822
|
0.2539
|
0.1421
|
0.0007
|
0.0192
|
0.0003
|
0.0006
|
0.25
|
0.0003
|
1,089.0769
|
0.3335
|
0
|
2016-03-06 21:45:35 |
1.2.2 |
Babelfy |
IITB |
Entity Recognition |
0.3157
|
0.5897
|
0.2156
|
0.3224
|
0.604
|
0.2425
|
0.1878
|
0.2367
|
0.1754
|
0.1822
|
0.2539
|
0.1421
|
0.0007
|
0.0192
|
0.0003
|
0.0006
|
0.25
|
0.0003
|
1,089.0769
|
0.3335
|
0
|
2016-03-06 21:45:35 |
1.2.2 |
Babelfy |
IITB |
D2KB |
0.1337
|
0.4689
|
0.0779
|
0.1485
|
0.411
|
0.095
|
0.1878
|
0.2367
|
0.1754
|
0.1822
|
0.2539
|
0.1421
|
0.0007
|
0.0192
|
0.0003
|
0.0006
|
0.25
|
0.0003
|
1,089.0769
|
0.3335
|
0
|
2016-03-06 21:45:35 |
1.2.2 |
Babelfy |
KORE50 |
|
0.5614
|
0.5674
|
0.5556
|
0.5243
|
0.5454
|
0.543
|
0.5243
|
0.5454
|
0.543
|
0.5614
|
0.5674
|
0.5556
|
|
|
|
|
|
|
76.06
|
0.3226
|
0
|
2016-03-06 03:08:28 |
1.2.2 |
Babelfy |
KORE50 |
Entity Recognition |
0.7285
|
0.7211
|
0.7361
|
0.7004
|
0.7246
|
0.7287
|
0.5243
|
0.5454
|
0.543
|
0.5614
|
0.5674
|
0.5556
|
|
|
|
|
|
|
76.06
|
0.3226
|
0
|
2016-03-06 03:08:28 |
1.2.2 |
Babelfy |
KORE50 |
D2KB |
0.6557
|
0.8
|
0.5556
|
0.5848
|
0.6703
|
0.5403
|
0.5243
|
0.5454
|
0.543
|
0.5614
|
0.5674
|
0.5556
|
|
|
|
|
|
|
76.06
|
0.3226
|
0
|
2016-03-06 03:08:28 |
1.2.2 |
Babelfy |
Microposts2014-Test |
|
0.2347
|
0.2597
|
0.2142
|
0.4495
|
0.4629
|
0.456
|
0.4544
|
0.4676
|
0.4614
|
0.2363
|
0.2607
|
0.2161
|
0.9896
|
0.9896
|
0.9896
|
0
|
0
|
0
|
59.3175
|
0.5047
|
0
|
2016-03-06 15:14:04 |
1.2.2 |
Babelfy |
Microposts2014-Test |
Entity Recognition |
0.3385
|
0.3234
|
0.3551
|
0.4909
|
0.5011
|
0.5145
|
0.4544
|
0.4676
|
0.4614
|
0.2363
|
0.2607
|
0.2161
|
0.9896
|
0.9896
|
0.9896
|
0
|
0
|
0
|
59.3175
|
0.5047
|
0
|
2016-03-06 15:14:04 |
1.2.2 |
Babelfy |
Microposts2014-Test |
D2KB |
0.3476
|
0.7101
|
0.2301
|
0.5408
|
0.5776
|
0.5248
|
0.4544
|
0.4676
|
0.4614
|
0.2363
|
0.2607
|
0.2161
|
0.9896
|
0.9896
|
0.9896
|
0
|
0
|
0
|
59.3175
|
0.5047
|
0
|
2016-03-06 15:14:04 |
1.2.2 |
Babelfy |
Microposts2014-Train |
|
0.3133
|
0.365
|
0.2745
|
0.4176
|
0.4397
|
0.4275
|
0.4198
|
0.4412
|
0.4308
|
0.3149
|
0.3656
|
0.2766
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
57.1376
|
0.5032
|
0
|
2016-03-07 05:56:40 |
1.2.2 |
Babelfy |
Microposts2014-Train |
Entity Recognition |
0.4447
|
0.4302
|
0.4602
|
0.4805
|
0.4875
|
0.5224
|
0.4198
|
0.4412
|
0.4308
|
0.3149
|
0.3656
|
0.2766
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
57.1376
|
0.5032
|
0
|
2016-03-07 05:56:40 |
1.2.2 |
Babelfy |
Microposts2014-Train |
D2KB |
0.4307
|
0.74
|
0.3038
|
0.5404
|
0.6079
|
0.5117
|
0.4198
|
0.4412
|
0.4308
|
0.3149
|
0.3656
|
0.2766
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
57.1376
|
0.5032
|
0
|
2016-03-07 05:56:40 |
1.2.2 |
Babelfy |
MSNBC |
|
0.4138
|
0.35
|
0.506
|
0.378
|
0.3198
|
0.4842
|
0.401
|
0.3198
|
0.5628
|
0.4406
|
0.35
|
0.5943
|
0
|
0
|
0
|
0
|
0
|
0
|
1,265.6
|
0.4709
|
0
|
2016-03-06 08:22:04 |
1.2.2 |
Babelfy |
MSNBC |
Entity Recognition |
0.5535
|
0.4292
|
0.7791
|
0.5387
|
0.4186
|
0.7796
|
0.401
|
0.3198
|
0.5628
|
0.4406
|
0.35
|
0.5943
|
0
|
0
|
0
|
0
|
0
|
0
|
1,265.6
|
0.4709
|
0
|
2016-03-06 08:22:04 |
1.2.2 |
Babelfy |
MSNBC |
D2KB |
0.6402
|
0.7871
|
0.5395
|
0.595
|
0.7511
|
0.5063
|
0.401
|
0.3198
|
0.5628
|
0.4406
|
0.35
|
0.5943
|
0
|
0
|
0
|
0
|
0
|
0
|
1,265.6
|
0.4709
|
0
|
2016-03-06 08:22:04 |
1.2.2 |
Babelfy |
N3-Reuters-128 |
|
0.2937
|
0.2966
|
0.2909
|
0.2684
|
0.273
|
0.3139
|
0.3249
|
0.2966
|
0.4287
|
0.3457
|
0.297
|
0.4136
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
373.4766
|
0.6433
|
0
|
2016-03-07 03:56:59 |
1.2.2 |
Babelfy |
N3-Reuters-128 |
Entity Recognition |
0.4949
|
0.4294
|
0.5841
|
0.4472
|
0.4176
|
0.5875
|
0.3249
|
0.2966
|
0.4287
|
0.3457
|
0.297
|
0.4136
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
373.4766
|
0.6433
|
0
|
2016-03-07 03:56:59 |
1.2.2 |
Babelfy |
N3-Reuters-128 |
D2KB |
0.4016
|
0.6481
|
0.2909
|
0.3333
|
0.4893
|
0.2698
|
0.3249
|
0.2966
|
0.4287
|
0.3457
|
0.297
|
0.4136
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
373.4766
|
0.6433
|
0
|
2016-03-07 03:56:59 |
1.2.2 |
Babelfy |
N3-RSS-500 |
|
0.2554
|
0.2855
|
0.231
|
0.2239
|
0.2549
|
0.231
|
0.3702
|
0.3676
|
0.425
|
0.3485
|
0.2861
|
0.4457
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
139.566
|
0.9877
|
0
|
2016-03-07 00:48:26 |
1.2.2 |
Babelfy |
N3-RSS-500 |
Entity Recognition |
0.4127
|
0.3879
|
0.441
|
0.3895
|
0.4147
|
0.441
|
0.3702
|
0.3676
|
0.425
|
0.3485
|
0.2861
|
0.4457
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
139.566
|
0.9877
|
0
|
2016-03-07 00:48:26 |
1.2.2 |
Babelfy |
N3-RSS-500 |
D2KB |
0.4158
|
0.6483
|
0.306
|
0.3503
|
0.439
|
0.306
|
0.3702
|
0.3676
|
0.425
|
0.3485
|
0.2861
|
0.4457
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
139.566
|
0.9877
|
0
|
2016-03-07 00:48:26 |
1.2.2 |
Babelfy |
OKE 2015 Task 1 evaluation dataset |
|
0.3853
|
0.4318
|
0.3479
|
0.3631
|
0.4349
|
0.3542
|
0.4086
|
0.4356
|
0.4479
|
0.4417
|
0.4313
|
0.4526
|
0.3494
|
0.3564
|
0.3482
|
0.0248
|
0.6667
|
0.0127
|
202.8614
|
0.5278
|
0
|
2016-03-07 05:13:19 |
1.2.2 |
Babelfy |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.5421
|
0.5514
|
0.5331
|
0.5281
|
0.5898
|
0.5462
|
0.4086
|
0.4356
|
0.4479
|
0.4417
|
0.4313
|
0.4526
|
0.3494
|
0.3564
|
0.3482
|
0.0248
|
0.6667
|
0.0127
|
202.8614
|
0.5278
|
0
|
2016-03-07 05:13:19 |
1.2.2 |
Babelfy |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5096
|
0.769
|
0.381
|
0.4843
|
0.7307
|
0.3868
|
0.4086
|
0.4356
|
0.4479
|
0.4417
|
0.4313
|
0.4526
|
0.3494
|
0.3564
|
0.3482
|
0.0248
|
0.6667
|
0.0127
|
202.8614
|
0.5278
|
0
|
2016-03-07 05:13:19 |
1.2.2 |
Babelfy |
OKE 2015 Task 1 gold standard sample |
|
0.4924
|
0.5144
|
0.4721
|
0.4647
|
0.5097
|
0.5002
|
0.4976
|
0.5202
|
0.5511
|
0.5236
|
0.5144
|
0.5331
|
0
|
0
|
0
|
0
|
0
|
0
|
211.0737
|
0.6763
|
0
|
2016-03-07 05:33:19 |
1.2.2 |
Babelfy |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.5968
|
0.6505
|
0.5513
|
0.5586
|
0.6457
|
0.5688
|
0.4976
|
0.5202
|
0.5511
|
0.5236
|
0.5144
|
0.5331
|
0
|
0
|
0
|
0
|
0
|
0
|
211.0737
|
0.6763
|
0
|
2016-03-07 05:33:19 |
1.2.2 |
Babelfy |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.6594
|
0.8626
|
0.5337
|
0.6324
|
0.8128
|
0.5544
|
0.4976
|
0.5202
|
0.5511
|
0.5236
|
0.5144
|
0.5331
|
0
|
0
|
0
|
0
|
0
|
0
|
211.0737
|
0.6763
|
0
|
2016-03-07 05:33:19 |
1.2.2 |
Babelfy |
Bengal Star 100 (uploaded) |
|
0.6866
|
0.6556
|
0.7206
|
0.6597
|
0.6803
|
0.7212
|
0.6597
|
0.6803
|
0.7212
|
0.6866
|
0.6556
|
0.7206
|
|
|
|
|
|
|
156.65
|
0.9992
|
0
|
2016-03-09 16:37:57 |
1.2.2 |
Babelfy |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.6924
|
0.6611
|
0.7267
|
0.6655
|
0.6859
|
0.7274
|
0.6597
|
0.6803
|
0.7212
|
0.6866
|
0.6556
|
0.7206
|
|
|
|
|
|
|
156.65
|
0.9992
|
0
|
2016-03-09 16:37:57 |
1.2.2 |
Babelfy |
Bengal Star 100 (uploaded) |
D2KB |
0.8913
|
0.9624
|
0.83
|
0.8579
|
0.9473
|
0.8108
|
0.6597
|
0.6803
|
0.7212
|
0.6866
|
0.6556
|
0.7206
|
|
|
|
|
|
|
156.65
|
0.9992
|
0
|
2016-03-09 16:37:57 |
1.2.2 |
Babelfy |
Bengal Star Para 100 (uploaded) |
|
0.6893
|
0.6623
|
0.7186
|
0.6606
|
0.6926
|
0.7202
|
0.6606
|
0.6926
|
0.7202
|
0.6893
|
0.6623
|
0.7186
|
|
|
|
|
|
|
119.49
|
0.9992
|
0
|
2016-03-09 16:54:52 |
1.2.2 |
Babelfy |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.6951
|
0.6679
|
0.7247
|
0.6668
|
0.699
|
0.7264
|
0.6606
|
0.6926
|
0.7202
|
0.6893
|
0.6623
|
0.7186
|
|
|
|
|
|
|
119.49
|
0.9992
|
0
|
2016-03-09 16:54:52 |
1.2.2 |
Babelfy |
Bengal Star Para 100 (uploaded) |
D2KB |
0.9036
|
0.972
|
0.8441
|
0.8746
|
0.9626
|
0.8297
|
0.6606
|
0.6926
|
0.7202
|
0.6893
|
0.6623
|
0.7186
|
|
|
|
|
|
|
119.49
|
0.9992
|
0
|
2016-03-09 16:54:52 |
1.2.2 |
Babelfy |
Bengal Sym 100 (uploaded) |
|
0.716
|
0.6988
|
0.7341
|
0.692
|
0.7211
|
0.7362
|
0.692
|
0.7211
|
0.7362
|
0.716
|
0.6988
|
0.7341
|
0
|
0
|
0
|
0
|
0
|
0
|
192.29
|
0.9984
|
0
|
2016-03-17 16:51:49 |
1.2.2 |
Babelfy |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7269
|
0.7094
|
0.7453
|
0.6975
|
0.7259
|
0.7429
|
0.692
|
0.7211
|
0.7362
|
0.716
|
0.6988
|
0.7341
|
0
|
0
|
0
|
0
|
0
|
0
|
192.29
|
0.9984
|
0
|
2016-03-17 16:51:49 |
1.2.2 |
Babelfy |
Bengal Sym 100 (uploaded) |
D2KB |
0.8973
|
0.9822
|
0.8258
|
0.8609
|
0.9422
|
0.8177
|
0.692
|
0.7211
|
0.7362
|
0.716
|
0.6988
|
0.7341
|
0
|
0
|
0
|
0
|
0
|
0
|
192.29
|
0.9984
|
0
|
2016-03-17 16:51:49 |
1.2.2 |
Babelfy |
Bengal Sym Para 100 (uploaded) |
|
0.7102
|
0.698
|
0.7228
|
0.685
|
0.7189
|
0.7273
|
0.685
|
0.7189
|
0.7273
|
0.7102
|
0.698
|
0.7228
|
0
|
0
|
0
|
0
|
0
|
0
|
158.67
|
0.9984
|
0
|
2016-03-17 16:51:51 |
1.2.2 |
Babelfy |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7213
|
0.7089
|
0.7341
|
0.6905
|
0.7237
|
0.7339
|
0.685
|
0.7189
|
0.7273
|
0.7102
|
0.698
|
0.7228
|
0
|
0
|
0
|
0
|
0
|
0
|
158.67
|
0.9984
|
0
|
2016-03-17 16:51:51 |
1.2.2 |
Babelfy |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.8882
|
0.9819
|
0.8109
|
0.8538
|
0.9422
|
0.806
|
0.685
|
0.7189
|
0.7273
|
0.7102
|
0.698
|
0.7228
|
0
|
0
|
0
|
0
|
0
|
0
|
158.67
|
0.9984
|
0
|
2016-03-17 16:51:51 |
1.2.2 |
Babelfy |
Bengal Path 100 (uploaded) |
|
0.7061
|
0.7041
|
0.7082
|
0.69
|
0.736
|
0.7107
|
0.69
|
0.736
|
0.7107
|
0.7061
|
0.7041
|
0.7082
|
|
|
|
|
|
|
301.9394
|
0.986
|
1
|
2016-03-09 16:44:52 |
1.2.2 |
Babelfy |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.7177
|
0.7157
|
0.7198
|
0.705
|
0.7543
|
0.724
|
0.69
|
0.736
|
0.7107
|
0.7061
|
0.7041
|
0.7082
|
|
|
|
|
|
|
301.9394
|
0.986
|
0
|
2016-03-09 16:44:52 |
1.2.2 |
Babelfy |
Bengal Path 100 (uploaded) |
D2KB |
0.8903
|
0.9835
|
0.8132
|
0.8686
|
0.9803
|
0.8121
|
0.69
|
0.736
|
0.7107
|
0.7061
|
0.7041
|
0.7082
|
|
|
|
|
|
|
301.9394
|
0.986
|
0
|
2016-03-09 16:44:52 |
1.2.2 |
Babelfy |
Bengal Path Para 100 (uploaded) |
|
0.7052
|
0.6985
|
0.7121
|
0.6915
|
0.7355
|
0.7148
|
0.6915
|
0.7355
|
0.7148
|
0.7052
|
0.6985
|
0.7121
|
|
|
|
|
|
|
198.44
|
0.9865
|
0
|
2016-03-09 16:55:08 |
1.2.2 |
Babelfy |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7206
|
0.7137
|
0.7276
|
0.7106
|
0.7589
|
0.7317
|
0.6915
|
0.7355
|
0.7148
|
0.7052
|
0.6985
|
0.7121
|
|
|
|
|
|
|
198.44
|
0.9865
|
0
|
2016-03-09 16:55:08 |
1.2.2 |
Babelfy |
Bengal Path Para 100 (uploaded) |
D2KB |
0.8936
|
0.9859
|
0.8171
|
0.8748
|
0.9928
|
0.8169
|
0.6915
|
0.7355
|
0.7148
|
0.7052
|
0.6985
|
0.7121
|
|
|
|
|
|
|
198.44
|
0.9865
|
0
|
2016-03-09 16:55:08 |
1.2.2 |
Babelfy |
Bengal Hybrid 100 (uploaded) |
|
0.6308
|
0.6162
|
0.6462
|
0.6156
|
0.6446
|
0.6739
|
0.6156
|
0.6446
|
0.6739
|
0.6308
|
0.6162
|
0.6462
|
|
|
|
|
|
|
195.42
|
0.8879
|
0
|
2016-03-11 14:05:18 |
1.2.2 |
Babelfy |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.637
|
0.6222
|
0.6525
|
0.6212
|
0.6536
|
0.6785
|
0.6156
|
0.6446
|
0.6739
|
0.6308
|
0.6162
|
0.6462
|
|
|
|
|
|
|
195.42
|
0.8879
|
0
|
2016-03-11 14:05:18 |
1.2.2 |
Babelfy |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.869
|
0.9918
|
0.7733
|
0.8325
|
0.9533
|
0.7747
|
0.6156
|
0.6446
|
0.6739
|
0.6308
|
0.6162
|
0.6462
|
|
|
|
|
|
|
195.42
|
0.8879
|
0
|
2016-03-11 14:05:18 |
1.2.2 |
Babelfy |
Bengal Hybrid Para 100 (uploaded) |
|
0.6242
|
0.6152
|
0.6335
|
0.5978
|
0.6364
|
0.6539
|
0.5978
|
0.6364
|
0.6539
|
0.6242
|
0.6152
|
0.6335
|
|
|
|
|
|
|
188.98
|
0.8859
|
0
|
2016-03-11 14:05:18 |
1.2.2 |
Babelfy |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.6333
|
0.623
|
0.6441
|
0.6066
|
0.6547
|
0.6608
|
0.5978
|
0.6364
|
0.6539
|
0.6242
|
0.6152
|
0.6335
|
|
|
|
|
|
|
188.98
|
0.8859
|
0
|
2016-03-11 14:05:18 |
1.2.2 |
Babelfy |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.8674
|
0.9945
|
0.7691
|
0.8199
|
0.9483
|
0.7607
|
0.5978
|
0.6364
|
0.6539
|
0.6242
|
0.6152
|
0.6335
|
|
|
|
|
|
|
188.98
|
0.8859
|
0
|
2016-03-11 14:05:18 |
1.2.2 |
Babelfy |
Bengal Summary 100 (uploaded) |
|
0.5306
|
0.4906
|
0.5778
|
0.5102
|
0.4746
|
0.5952
|
0.5102
|
0.4746
|
0.5952
|
0.5306
|
0.4906
|
0.5778
|
|
|
|
|
|
|
186.91
|
0.7143
|
0
|
2016-03-17 16:40:51 |
1.2.2 |
Babelfy |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.5877
|
0.5337
|
0.654
|
0.5597
|
0.52
|
0.6571
|
0.5102
|
0.4746
|
0.5952
|
0.5306
|
0.4906
|
0.5778
|
|
|
|
|
|
|
186.91
|
0.7143
|
0
|
2016-03-17 16:40:51 |
1.2.2 |
Babelfy |
Bengal Summary 100 (uploaded) |
D2KB |
0.8097
|
0.9819
|
0.6889
|
0.7505
|
0.865
|
0.6961
|
0.5102
|
0.4746
|
0.5952
|
0.5306
|
0.4906
|
0.5778
|
|
|
|
|
|
|
186.91
|
0.7143
|
0
|
2016-03-17 16:40:51 |
1.2.2 |
Babelfy |
Bengal Summary Para 100 (uploaded) |
|
0.5368
|
0.4973
|
0.5831
|
0.506
|
0.4692
|
0.591
|
0.506
|
0.4692
|
0.591
|
0.5368
|
0.4973
|
0.5831
|
|
|
|
|
|
|
187.32
|
0.7412
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
Babelfy |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.5978
|
0.5276
|
0.6897
|
0.5779
|
0.5281
|
0.6927
|
0.506
|
0.4692
|
0.591
|
0.5368
|
0.4973
|
0.5831
|
|
|
|
|
|
|
187.32
|
0.7412
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
Babelfy |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.8147
|
0.9823
|
0.6959
|
0.7535
|
0.866
|
0.6967
|
0.506
|
0.4692
|
0.591
|
0.5368
|
0.4973
|
0.5831
|
|
|
|
|
|
|
187.32
|
0.7412
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
DBpedia Spotlight |
ACE2004 |
|
0.179
|
0.1052
|
0.598
|
0.1681
|
0.1163
|
0.3687
|
0.1749
|
0.1163
|
0.4339
|
0.184
|
0.1052
|
0.732
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
211.9464
|
0
|
1
|
2016-03-04 21:46:18 |
1.2.2 |
DBpedia Spotlight |
ACE2004 |
Entity Recognition |
0.222
|
0.1305
|
0.7418
|
0.2207
|
0.156
|
0.4668
|
0.1749
|
0.1163
|
0.4339
|
0.184
|
0.1052
|
0.732
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
211.9464
|
0
|
0
|
2016-03-04 21:46:18 |
1.2.2 |
DBpedia Spotlight |
ACE2004 |
D2KB |
0.6693
|
0.8653
|
0.5458
|
0.771
|
0.8778
|
0.7075
|
0.1749
|
0.1163
|
0.4339
|
0.184
|
0.1052
|
0.732
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
211.9464
|
0
|
0
|
2016-03-04 21:46:18 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Complete |
|
0.4398
|
0.4695
|
0.4136
|
0.4147
|
0.4402
|
0.4154
|
0.4918
|
0.4416
|
0.6241
|
0.532
|
0.4695
|
0.6138
|
0.056
|
0.056
|
0.056
|
0
|
0
|
0
|
163.5833
|
0
|
1
|
2016-03-05 18:01:50 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Complete |
Entity Recognition |
0.7057
|
0.7534
|
0.6637
|
0.6758
|
0.7269
|
0.6733
|
0.4918
|
0.4416
|
0.6241
|
0.532
|
0.4695
|
0.6138
|
0.056
|
0.056
|
0.056
|
0
|
0
|
0
|
163.5833
|
0
|
0
|
2016-03-05 18:01:50 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Complete |
D2KB |
0.5087
|
0.6882
|
0.4035
|
0.4916
|
0.6957
|
0.4052
|
0.4918
|
0.4416
|
0.6241
|
0.532
|
0.4695
|
0.6138
|
0.056
|
0.056
|
0.056
|
0
|
0
|
0
|
163.5833
|
0
|
0
|
2016-03-05 18:01:50 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Test A |
|
0.439
|
0.4718
|
0.4105
|
0.413
|
0.4319
|
0.4158
|
0.4875
|
0.4319
|
0.6125
|
0.5236
|
0.4718
|
0.5881
|
0.0602
|
0.0602
|
0.0602
|
0
|
0
|
0
|
172.8372
|
0
|
1
|
2016-03-05 06:28:59 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Test A |
Entity Recognition |
0.695
|
0.7469
|
0.6498
|
0.6731
|
0.7201
|
0.673
|
0.4875
|
0.4319
|
0.6125
|
0.5236
|
0.4718
|
0.5881
|
0.0602
|
0.0602
|
0.0602
|
0
|
0
|
0
|
172.8372
|
0
|
0
|
2016-03-05 06:28:59 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Test A |
D2KB |
0.51
|
0.6938
|
0.4032
|
0.4963
|
0.6893
|
0.409
|
0.4875
|
0.4319
|
0.6125
|
0.5236
|
0.4718
|
0.5881
|
0.0602
|
0.0602
|
0.0602
|
0
|
0
|
0
|
172.8372
|
0
|
0
|
2016-03-05 06:28:59 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Test B |
|
0.4218
|
0.4476
|
0.3989
|
0.4109
|
0.4339
|
0.412
|
0.4861
|
0.4382
|
0.6126
|
0.5158
|
0.4476
|
0.6084
|
0.0606
|
0.0606
|
0.0606
|
0
|
0
|
0
|
160.4087
|
0
|
1
|
2016-03-05 12:31:33 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Test B |
Entity Recognition |
0.7147
|
0.7584
|
0.6757
|
0.6857
|
0.7283
|
0.6878
|
0.4861
|
0.4382
|
0.6126
|
0.5158
|
0.4476
|
0.6084
|
0.0606
|
0.0606
|
0.0606
|
0
|
0
|
0
|
160.4087
|
0
|
0
|
2016-03-05 12:31:33 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Test B |
D2KB |
0.4896
|
0.6515
|
0.3921
|
0.4881
|
0.675
|
0.4034
|
0.4861
|
0.4382
|
0.6126
|
0.5158
|
0.4476
|
0.6084
|
0.0606
|
0.0606
|
0.0606
|
0
|
0
|
0
|
160.4087
|
0
|
0
|
2016-03-05 12:31:33 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Training |
|
0.4432
|
0.4736
|
0.4165
|
0.4152
|
0.4428
|
0.4153
|
0.4934
|
0.4439
|
0.6289
|
0.5369
|
0.4736
|
0.6197
|
0.0539
|
0.0539
|
0.0539
|
0
|
0
|
0
|
160.0856
|
0
|
0
|
2016-03-05 18:01:18 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Training |
Entity Recognition |
0.705
|
0.7533
|
0.6625
|
0.6731
|
0.7272
|
0.669
|
0.4934
|
0.4439
|
0.6289
|
0.5369
|
0.4736
|
0.6197
|
0.0539
|
0.0539
|
0.0539
|
0
|
0
|
0
|
160.0856
|
0
|
0
|
2016-03-05 18:01:18 |
1.2.2 |
DBpedia Spotlight |
AIDA/CoNLL-Training |
D2KB |
0.5119
|
0.6956
|
0.4049
|
0.4907
|
0.7014
|
0.4041
|
0.4934
|
0.4439
|
0.6289
|
0.5369
|
0.4736
|
0.6197
|
0.0539
|
0.0539
|
0.0539
|
0
|
0
|
0
|
160.0856
|
0
|
0
|
2016-03-05 18:01:18 |
1.2.2 |
DBpedia Spotlight |
AQUAINT |
|
0.4098
|
0.351
|
0.4924
|
0.4
|
0.3594
|
0.4888
|
0.4111
|
0.3594
|
0.5209
|
0.4204
|
0.351
|
0.5242
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
155.76
|
0
|
0
|
2016-03-05 21:42:42 |
1.2.2 |
DBpedia Spotlight |
AQUAINT |
Entity Recognition |
0.5186
|
0.4441
|
0.6231
|
0.5149
|
0.4643
|
0.6257
|
0.4111
|
0.3594
|
0.5209
|
0.4204
|
0.351
|
0.5242
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
155.76
|
0
|
0
|
2016-03-05 21:42:42 |
1.2.2 |
DBpedia Spotlight |
AQUAINT |
D2KB |
0.5902
|
0.8342
|
0.4567
|
0.5776
|
0.8315
|
0.4547
|
0.4111
|
0.3594
|
0.5209
|
0.4204
|
0.351
|
0.5242
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
155.76
|
0
|
0
|
2016-03-05 21:42:42 |
1.2.2 |
DBpedia Spotlight |
DBpediaSpotlight |
|
0.3649
|
0.7105
|
0.2455
|
0.313
|
0.5417
|
0.2442
|
0.313
|
0.5417
|
0.2442
|
0.3649
|
0.7105
|
0.2455
|
|
|
|
|
|
|
89.9655
|
0
|
0
|
2016-03-05 22:03:55 |
1.2.2 |
DBpedia Spotlight |
DBpediaSpotlight |
Entity Recognition |
0.4459
|
0.8684
|
0.3
|
0.3887
|
0.6899
|
0.297
|
0.313
|
0.5417
|
0.2442
|
0.3649
|
0.7105
|
0.2455
|
|
|
|
|
|
|
89.9655
|
0
|
0
|
2016-03-05 22:03:55 |
1.2.2 |
DBpedia Spotlight |
DBpediaSpotlight |
D2KB |
0.3837
|
0.9195
|
0.2424
|
0.3251
|
0.6523
|
0.2427
|
0.313
|
0.5417
|
0.2442
|
0.3649
|
0.7105
|
0.2455
|
|
|
|
|
|
|
89.9655
|
0
|
0
|
2016-03-05 22:03:55 |
1.2.2 |
DBpedia Spotlight |
IITB |
|
0.2587
|
0.5952
|
0.1652
|
0.247
|
0.5592
|
0.1623
|
0.3525
|
0.5592
|
0.2655
|
0.375
|
0.5952
|
0.2737
|
0
|
0
|
0
|
0
|
0
|
0
|
251.5545
|
0
|
3
|
2016-03-06 20:25:30 |
1.2.2 |
DBpedia Spotlight |
IITB |
Entity Recognition |
0.3749
|
0.8628
|
0.2395
|
0.3653
|
0.8366
|
0.2396
|
0.3525
|
0.5592
|
0.2655
|
0.375
|
0.5952
|
0.2737
|
0
|
0
|
0
|
0
|
0
|
0
|
251.5545
|
0
|
0
|
2016-03-06 20:25:30 |
1.2.2 |
DBpedia Spotlight |
IITB |
D2KB |
0.2585
|
0.761
|
0.1557
|
0.2457
|
0.7006
|
0.1525
|
0.3525
|
0.5592
|
0.2655
|
0.375
|
0.5952
|
0.2737
|
0
|
0
|
0
|
0
|
0
|
0
|
251.5545
|
0
|
0
|
2016-03-06 20:25:30 |
1.2.2 |
DBpedia Spotlight |
KORE50 |
|
0.3318
|
0.5224
|
0.2431
|
0.2603
|
0.3683
|
0.22
|
0.2603
|
0.3683
|
0.22
|
0.3318
|
0.5224
|
0.2431
|
|
|
|
|
|
|
86.08
|
0
|
0
|
2016-03-06 03:08:41 |
1.2.2 |
DBpedia Spotlight |
KORE50 |
Entity Recognition |
0.5118
|
0.806
|
0.375
|
0.4429
|
0.6183
|
0.3707
|
0.2603
|
0.3683
|
0.22
|
0.3318
|
0.5224
|
0.2431
|
|
|
|
|
|
|
86.08
|
0
|
0
|
2016-03-06 03:08:41 |
1.2.2 |
DBpedia Spotlight |
KORE50 |
D2KB |
0.3469
|
0.6538
|
0.2361
|
0.2611
|
0.3767
|
0.2133
|
0.2603
|
0.3683
|
0.22
|
0.3318
|
0.5224
|
0.2431
|
|
|
|
|
|
|
86.08
|
0
|
0
|
2016-03-06 03:08:41 |
1.2.2 |
DBpedia Spotlight |
Microposts2014-Test |
|
0.362
|
0.361
|
0.3631
|
0.5271
|
0.5551
|
0.5253
|
0.5297
|
0.557
|
0.5283
|
0.3636
|
0.361
|
0.3663
|
0.9915
|
0.9915
|
0.9915
|
0
|
0
|
0
|
86.3501
|
0
|
1
|
2016-03-06 14:47:49 |
1.2.2 |
DBpedia Spotlight |
Microposts2014-Test |
Entity Recognition |
0.47
|
0.4687
|
0.4713
|
0.594
|
0.6283
|
0.5939
|
0.5297
|
0.557
|
0.5283
|
0.3636
|
0.361
|
0.3663
|
0.9915
|
0.9915
|
0.9915
|
0
|
0
|
0
|
86.3501
|
0
|
0
|
2016-03-06 14:47:49 |
1.2.2 |
DBpedia Spotlight |
Microposts2014-Test |
D2KB |
0.4876
|
0.8282
|
0.3455
|
0.6324
|
0.6882
|
0.6092
|
0.5297
|
0.557
|
0.5283
|
0.3636
|
0.361
|
0.3663
|
0.9915
|
0.9915
|
0.9915
|
0
|
0
|
0
|
86.3501
|
0
|
0
|
2016-03-06 14:47:49 |
1.2.2 |
DBpedia Spotlight |
Microposts2014-Train |
|
0.4431
|
0.4886
|
0.4053
|
0.4962
|
0.5318
|
0.496
|
0.4976
|
0.5323
|
0.4988
|
0.4449
|
0.4886
|
0.4084
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
84.7661
|
0
|
1
|
2016-03-07 04:58:48 |
1.2.2 |
DBpedia Spotlight |
Microposts2014-Train |
Entity Recognition |
0.5858
|
0.6461
|
0.5358
|
0.5892
|
0.6376
|
0.588
|
0.4976
|
0.5323
|
0.4988
|
0.4449
|
0.4886
|
0.4084
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
84.7661
|
0
|
0
|
2016-03-07 04:58:48 |
1.2.2 |
DBpedia Spotlight |
Microposts2014-Train |
D2KB |
0.5278
|
0.8261
|
0.3878
|
0.6252
|
0.7135
|
0.5882
|
0.4976
|
0.5323
|
0.4988
|
0.4449
|
0.4886
|
0.4084
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
84.7661
|
0
|
0
|
2016-03-07 04:58:48 |
1.2.2 |
DBpedia Spotlight |
MSNBC |
|
0.4261
|
0.4424
|
0.411
|
0.4159
|
0.4349
|
0.4455
|
0.4511
|
0.4349
|
0.5299
|
0.4617
|
0.4424
|
0.4827
|
0.1
|
0.1
|
0.1
|
0
|
0
|
0
|
252.7895
|
0
|
1
|
2016-03-06 08:08:54 |
1.2.2 |
DBpedia Spotlight |
MSNBC |
Entity Recognition |
0.5579
|
0.5793
|
0.5382
|
0.5331
|
0.5582
|
0.5725
|
0.4511
|
0.4349
|
0.5299
|
0.4617
|
0.4424
|
0.4827
|
0.1
|
0.1
|
0.1
|
0
|
0
|
0
|
252.7895
|
0
|
0
|
2016-03-06 08:08:54 |
1.2.2 |
DBpedia Spotlight |
MSNBC |
D2KB |
0.5101
|
0.8171
|
0.3708
|
0.5221
|
0.8102
|
0.4011
|
0.4511
|
0.4349
|
0.5299
|
0.4617
|
0.4424
|
0.4827
|
0.1
|
0.1
|
0.1
|
0
|
0
|
0
|
252.7895
|
0
|
0
|
2016-03-06 08:08:54 |
1.2.2 |
DBpedia Spotlight |
N3-Reuters-128 |
|
0.3201
|
0.2933
|
0.3523
|
0.289
|
0.2751
|
0.3678
|
0.3522
|
0.3064
|
0.5008
|
0.3699
|
0.2933
|
0.5008
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
94.0472
|
0
|
1
|
2016-03-07 03:54:41 |
1.2.2 |
DBpedia Spotlight |
N3-Reuters-128 |
Entity Recognition |
0.5152
|
0.4721
|
0.567
|
0.4706
|
0.4586
|
0.581
|
0.3522
|
0.3064
|
0.5008
|
0.3699
|
0.2933
|
0.5008
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
94.0472
|
0
|
0
|
2016-03-07 03:54:41 |
1.2.2 |
DBpedia Spotlight |
N3-Reuters-128 |
D2KB |
0.4047
|
0.757
|
0.2761
|
0.3281
|
0.531
|
0.2591
|
0.3522
|
0.3064
|
0.5008
|
0.3699
|
0.2933
|
0.5008
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
94.0472
|
0
|
0
|
2016-03-07 03:54:41 |
1.2.2 |
DBpedia Spotlight |
N3-RSS-500 |
|
0.2746
|
0.2394
|
0.322
|
0.2544
|
0.2424
|
0.322
|
0.3612
|
0.3164
|
0.501
|
0.3461
|
0.2394
|
0.624
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
81.519
|
0
|
1
|
2016-03-07 00:46:56 |
1.2.2 |
DBpedia Spotlight |
N3-RSS-500 |
Entity Recognition |
0.4597
|
0.4007
|
0.539
|
0.4451
|
0.4401
|
0.539
|
0.3612
|
0.3164
|
0.501
|
0.3461
|
0.2394
|
0.624
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
81.519
|
0
|
0
|
2016-03-07 00:46:56 |
1.2.2 |
DBpedia Spotlight |
N3-RSS-500 |
D2KB |
0.4254
|
0.719
|
0.302
|
0.3463
|
0.435
|
0.302
|
0.3612
|
0.3164
|
0.501
|
0.3461
|
0.2394
|
0.624
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
81.519
|
0
|
0
|
2016-03-07 00:46:56 |
1.2.2 |
DBpedia Spotlight |
OKE 2015 Task 1 evaluation dataset |
|
0.4283
|
0.5495
|
0.3509
|
0.4071
|
0.5414
|
0.3505
|
0.4688
|
0.5414
|
0.4551
|
0.5011
|
0.5495
|
0.4605
|
0.3366
|
0.3366
|
0.3366
|
0
|
0
|
0
|
82.8713
|
0
|
0
|
2016-03-07 05:07:41 |
1.2.2 |
DBpedia Spotlight |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.6121
|
0.7854
|
0.5015
|
0.5885
|
0.7865
|
0.5022
|
0.4688
|
0.5414
|
0.4551
|
0.5011
|
0.5495
|
0.4605
|
0.3366
|
0.3366
|
0.3366
|
0
|
0
|
0
|
82.8713
|
0
|
0
|
2016-03-07 05:07:41 |
1.2.2 |
DBpedia Spotlight |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.4502
|
0.8
|
0.3133
|
0.4177
|
0.7177
|
0.3134
|
0.4688
|
0.5414
|
0.4551
|
0.5011
|
0.5495
|
0.4605
|
0.3366
|
0.3366
|
0.3366
|
0
|
0
|
0
|
82.8713
|
0
|
0
|
2016-03-07 05:07:41 |
1.2.2 |
DBpedia Spotlight |
OKE 2015 Task 1 gold standard sample |
|
0.5588
|
0.631
|
0.5015
|
0.526
|
0.6145
|
0.4993
|
0.5791
|
0.6356
|
0.5692
|
0.5969
|
0.631
|
0.5662
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
83.7979
|
0
|
1
|
2016-03-07 05:26:48 |
1.2.2 |
DBpedia Spotlight |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.7418
|
0.8376
|
0.6657
|
0.6989
|
0.8187
|
0.6592
|
0.5791
|
0.6356
|
0.5692
|
0.5969
|
0.631
|
0.5662
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
83.7979
|
0
|
0
|
2016-03-07 05:26:48 |
1.2.2 |
DBpedia Spotlight |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.6154
|
0.8939
|
0.4692
|
0.5512
|
0.7449
|
0.4616
|
0.5791
|
0.6356
|
0.5692
|
0.5969
|
0.631
|
0.5662
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
83.7979
|
0
|
0
|
2016-03-07 05:26:48 |
1.2.2 |
DBpedia Spotlight |
Bengal Star 100 (uploaded) |
|
0.5863
|
0.5599
|
0.6154
|
0.5811
|
0.6148
|
0.5965
|
0.5811
|
0.6148
|
0.5965
|
0.5863
|
0.5599
|
0.6154
|
|
|
|
|
|
|
75.67
|
0
|
0
|
2016-03-09 16:34:30 |
1.2.2 |
DBpedia Spotlight |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.8139
|
0.7772
|
0.8543
|
0.8038
|
0.8315
|
0.8418
|
0.5811
|
0.6148
|
0.5965
|
0.5863
|
0.5599
|
0.6154
|
|
|
|
|
|
|
75.67
|
0
|
0
|
2016-03-09 16:34:30 |
1.2.2 |
DBpedia Spotlight |
Bengal Star 100 (uploaded) |
D2KB |
0.6543
|
0.9535
|
0.498
|
0.5994
|
0.8687
|
0.4961
|
0.5811
|
0.6148
|
0.5965
|
0.5863
|
0.5599
|
0.6154
|
|
|
|
|
|
|
75.67
|
0
|
0
|
2016-03-09 16:34:30 |
1.2.2 |
DBpedia Spotlight |
Bengal Star Para 100 (uploaded) |
|
0.5883
|
0.5653
|
0.6134
|
0.5819
|
0.6153
|
0.5948
|
0.5819
|
0.6153
|
0.5948
|
0.5883
|
0.5653
|
0.6134
|
|
|
|
|
|
|
74.18
|
0
|
0
|
2016-03-09 16:54:45 |
1.2.2 |
DBpedia Spotlight |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.8194
|
0.7873
|
0.8543
|
0.8071
|
0.8347
|
0.8418
|
0.5819
|
0.6153
|
0.5948
|
0.5883
|
0.5653
|
0.6134
|
|
|
|
|
|
|
74.18
|
0
|
0
|
2016-03-09 16:54:45 |
1.2.2 |
DBpedia Spotlight |
Bengal Star Para 100 (uploaded) |
D2KB |
0.6543
|
0.9535
|
0.498
|
0.5994
|
0.8687
|
0.4961
|
0.5819
|
0.6153
|
0.5948
|
0.5883
|
0.5653
|
0.6134
|
|
|
|
|
|
|
74.18
|
0
|
0
|
2016-03-09 16:54:45 |
1.2.2 |
DBpedia Spotlight |
Bengal Sym 100 (uploaded) |
|
0.5252
|
0.5052
|
0.5468
|
0.5417
|
0.5899
|
0.5507
|
0.5417
|
0.5899
|
0.5507
|
0.5252
|
0.5052
|
0.5468
|
|
|
|
|
|
|
82.82
|
0
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
DBpedia Spotlight |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7716
|
0.7422
|
0.8034
|
0.7669
|
0.8048
|
0.8043
|
0.5417
|
0.5899
|
0.5507
|
0.5252
|
0.5052
|
0.5468
|
|
|
|
|
|
|
82.82
|
0
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
DBpedia Spotlight |
Bengal Sym 100 (uploaded) |
D2KB |
0.6353
|
0.9881
|
0.4682
|
0.5837
|
0.8667
|
0.4796
|
0.5417
|
0.5899
|
0.5507
|
0.5252
|
0.5052
|
0.5468
|
|
|
|
|
|
|
82.82
|
0
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
DBpedia Spotlight |
Bengal Sym Para 100 (uploaded) |
|
0.5208
|
0.5137
|
0.5281
|
0.537
|
0.592
|
0.5362
|
0.537
|
0.592
|
0.5362
|
0.5208
|
0.5137
|
0.5281
|
|
|
|
|
|
|
76.5612
|
0
|
2
|
2016-03-17 16:51:21 |
1.2.2 |
DBpedia Spotlight |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7701
|
0.7596
|
0.7809
|
0.759
|
0.8081
|
0.783
|
0.537
|
0.592
|
0.5362
|
0.5208
|
0.5137
|
0.5281
|
|
|
|
|
|
|
76.5612
|
0
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
DBpedia Spotlight |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.6186
|
0.9917
|
0.4494
|
0.5661
|
0.84
|
0.4651
|
0.537
|
0.592
|
0.5362
|
0.5208
|
0.5137
|
0.5281
|
|
|
|
|
|
|
76.5612
|
0
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
DBpedia Spotlight |
Bengal Path 100 (uploaded) |
|
0.6139
|
0.5949
|
0.6342
|
0.5802
|
0.5872
|
0.6065
|
0.5802
|
0.5872
|
0.6065
|
0.6139
|
0.5949
|
0.6342
|
|
|
|
|
|
|
77.3838
|
0
|
1
|
2016-03-09 16:43:23 |
1.2.2 |
DBpedia Spotlight |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.8437
|
0.8175
|
0.8716
|
0.8152
|
0.8152
|
0.8587
|
0.5802
|
0.5872
|
0.6065
|
0.6139
|
0.5949
|
0.6342
|
|
|
|
|
|
|
77.3838
|
0
|
0
|
2016-03-09 16:43:23 |
1.2.2 |
DBpedia Spotlight |
Bengal Path 100 (uploaded) |
D2KB |
0.6999
|
0.9723
|
0.5467
|
0.6084
|
0.8166
|
0.5172
|
0.5802
|
0.5872
|
0.6065
|
0.6139
|
0.5949
|
0.6342
|
|
|
|
|
|
|
77.3838
|
0
|
0
|
2016-03-09 16:43:23 |
1.2.2 |
DBpedia Spotlight |
Bengal Path Para 100 (uploaded) |
|
0.6214
|
0.6109
|
0.6323
|
0.584
|
0.5996
|
0.604
|
0.584
|
0.5996
|
0.604
|
0.6214
|
0.6109
|
0.6323
|
|
|
|
|
|
|
77.4646
|
0
|
1
|
2016-03-09 16:54:13 |
1.2.2 |
DBpedia Spotlight |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.8566
|
0.8421
|
0.8716
|
0.8252
|
0.8441
|
0.8587
|
0.584
|
0.5996
|
0.604
|
0.6214
|
0.6109
|
0.6323
|
|
|
|
|
|
|
77.4646
|
0
|
0
|
2016-03-09 16:54:13 |
1.2.2 |
DBpedia Spotlight |
Bengal Path Para 100 (uploaded) |
D2KB |
0.6983
|
0.9722
|
0.5447
|
0.6065
|
0.8166
|
0.5147
|
0.584
|
0.5996
|
0.604
|
0.6214
|
0.6109
|
0.6323
|
|
|
|
|
|
|
77.4646
|
0
|
0
|
2016-03-09 16:54:13 |
1.2.2 |
DBpedia Spotlight |
Bengal Hybrid 100 (uploaded) |
|
0.6572
|
0.6304
|
0.6864
|
0.6228
|
0.6535
|
0.635
|
0.6228
|
0.6535
|
0.635
|
0.6572
|
0.6304
|
0.6864
|
|
|
|
|
|
|
77.88
|
0
|
0
|
2016-03-11 14:04:12 |
1.2.2 |
DBpedia Spotlight |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.8641
|
0.8288
|
0.9025
|
0.8451
|
0.8654
|
0.8781
|
0.6228
|
0.6535
|
0.635
|
0.6572
|
0.6304
|
0.6864
|
|
|
|
|
|
|
77.88
|
0
|
0
|
2016-03-11 14:04:12 |
1.2.2 |
DBpedia Spotlight |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.7467
|
0.9728
|
0.6059
|
0.6471
|
0.853
|
0.5458
|
0.6228
|
0.6535
|
0.635
|
0.6572
|
0.6304
|
0.6864
|
|
|
|
|
|
|
77.88
|
0
|
0
|
2016-03-11 14:04:12 |
1.2.2 |
DBpedia Spotlight |
Bengal Hybrid Para 100 (uploaded) |
|
0.655
|
0.6355
|
0.6758
|
0.6228
|
0.6593
|
0.6292
|
0.6228
|
0.6593
|
0.6292
|
0.655
|
0.6355
|
0.6758
|
|
|
|
|
|
|
79.09
|
0
|
0
|
2016-03-11 14:06:37 |
1.2.2 |
DBpedia Spotlight |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.8747
|
0.8486
|
0.9025
|
0.8505
|
0.8761
|
0.8781
|
0.6228
|
0.6593
|
0.6292
|
0.655
|
0.6355
|
0.6758
|
|
|
|
|
|
|
79.09
|
0
|
0
|
2016-03-11 14:06:37 |
1.2.2 |
DBpedia Spotlight |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.7425
|
0.9693
|
0.6017
|
0.644
|
0.8505
|
0.5423
|
0.6228
|
0.6593
|
0.6292
|
0.655
|
0.6355
|
0.6758
|
|
|
|
|
|
|
79.09
|
0
|
0
|
2016-03-11 14:06:37 |
1.2.2 |
DBpedia Spotlight |
Bengal Summary 100 (uploaded) |
|
0.5217
|
0.4561
|
0.6095
|
0.4806
|
0.4787
|
0.5315
|
0.4806
|
0.4787
|
0.5315
|
0.5217
|
0.4561
|
0.6095
|
|
|
|
|
|
|
85.7143
|
0
|
2
|
2016-03-17 16:40:41 |
1.2.2 |
DBpedia Spotlight |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7201
|
0.6295
|
0.8413
|
0.69
|
0.6555
|
0.8107
|
0.4806
|
0.4787
|
0.5315
|
0.5217
|
0.4561
|
0.6095
|
|
|
|
|
|
|
85.7143
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
DBpedia Spotlight |
Bengal Summary 100 (uploaded) |
D2KB |
0.6909
|
0.95
|
0.5429
|
0.5497
|
0.7105
|
0.4829
|
0.4806
|
0.4787
|
0.5315
|
0.5217
|
0.4561
|
0.6095
|
|
|
|
|
|
|
85.7143
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
DBpedia Spotlight |
Bengal Summary Para 100 (uploaded) |
|
0.5386
|
0.4619
|
0.6458
|
0.4957
|
0.4924
|
0.5497
|
0.4957
|
0.4924
|
0.5497
|
0.5386
|
0.4619
|
0.6458
|
|
|
|
|
|
|
86.8
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
DBpedia Spotlight |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.732
|
0.6278
|
0.8777
|
0.705
|
0.6683
|
0.83
|
0.4957
|
0.4924
|
0.5497
|
0.5386
|
0.4619
|
0.6458
|
|
|
|
|
|
|
86.8
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
DBpedia Spotlight |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.7194
|
0.9733
|
0.5705
|
0.5679
|
0.7355
|
0.4976
|
0.4957
|
0.4924
|
0.5497
|
0.5386
|
0.4619
|
0.6458
|
|
|
|
|
|
|
86.8
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
Dexter |
ACE2004 |
|
0.2036
|
0.1352
|
0.4118
|
0.1796
|
0.1528
|
0.2539
|
0.1914
|
0.1528
|
0.3048
|
0.2132
|
0.1352
|
0.504
|
0
|
0
|
0
|
0
|
0
|
0
|
3,089.9123
|
0.503
|
0
|
2016-03-04 21:48:12 |
1.2.2 |
Dexter |
ACE2004 |
Entity Recognition |
0.2489
|
0.1612
|
0.5458
|
0.2329
|
0.193
|
0.3431
|
0.1914
|
0.1528
|
0.3048
|
0.2132
|
0.1352
|
0.504
|
0
|
0
|
0
|
0
|
0
|
0
|
3,089.9123
|
0.503
|
0
|
2016-03-04 21:48:12 |
1.2.2 |
Dexter |
ACE2004 |
D2KB |
0.5379
|
0.907
|
0.3824
|
0.6856
|
0.8901
|
0.6042
|
0.1914
|
0.1528
|
0.3048
|
0.2132
|
0.1352
|
0.504
|
0
|
0
|
0
|
0
|
0
|
0
|
3,089.9123
|
0.503
|
0
|
2016-03-04 21:48:12 |
1.2.2 |
Dexter |
AIDA/CoNLL-Complete |
|
0.3991
|
0.532
|
0.3193
|
0.3627
|
0.4842
|
0.3122
|
0.4485
|
0.4856
|
0.4729
|
0.5012
|
0.532
|
0.4739
|
0
|
0
|
0
|
0
|
0
|
0
|
1,787.4533
|
0.5019
|
1
|
2016-03-05 18:02:40 |
1.2.2 |
Dexter |
AIDA/CoNLL-Complete |
Entity Recognition |
0.6376
|
0.829
|
0.518
|
0.5982
|
0.7936
|
0.5177
|
0.4485
|
0.4856
|
0.4729
|
0.5012
|
0.532
|
0.4739
|
0
|
0
|
0
|
0
|
0
|
0
|
1,787.4533
|
0.5019
|
0
|
2016-03-05 18:02:40 |
1.2.2 |
Dexter |
AIDA/CoNLL-Complete |
D2KB |
0.4074
|
0.6866
|
0.2896
|
0.3879
|
0.6816
|
0.2903
|
0.4485
|
0.4856
|
0.4729
|
0.5012
|
0.532
|
0.4739
|
0
|
0
|
0
|
0
|
0
|
0
|
1,787.4533
|
0.5019
|
0
|
2016-03-05 18:02:40 |
1.2.2 |
Dexter |
AIDA/CoNLL-Test A |
|
0.393
|
0.5304
|
0.3122
|
0.3559
|
0.4655
|
0.3046
|
0.4338
|
0.4655
|
0.445
|
0.4853
|
0.5304
|
0.4472
|
0
|
0
|
0
|
0
|
0
|
0
|
2,028.8047
|
0.5012
|
1
|
2016-03-05 06:23:04 |
1.2.2 |
Dexter |
AIDA/CoNLL-Test A |
Entity Recognition |
0.6343
|
0.8373
|
0.5106
|
0.6175
|
0.8032
|
0.5324
|
0.4338
|
0.4655
|
0.445
|
0.4853
|
0.5304
|
0.4472
|
0
|
0
|
0
|
0
|
0
|
0
|
2,028.8047
|
0.5012
|
0
|
2016-03-05 06:23:04 |
1.2.2 |
Dexter |
AIDA/CoNLL-Test A |
D2KB |
0.3966
|
0.6804
|
0.2799
|
0.3744
|
0.6445
|
0.2801
|
0.4338
|
0.4655
|
0.445
|
0.4853
|
0.5304
|
0.4472
|
0
|
0
|
0
|
0
|
0
|
0
|
2,028.8047
|
0.5012
|
0
|
2016-03-05 06:23:04 |
1.2.2 |
Dexter |
AIDA/CoNLL-Test B |
|
0.3759
|
0.4963
|
0.3025
|
0.351
|
0.4623
|
0.3007
|
0.4354
|
0.4623
|
0.4548
|
0.4783
|
0.4963
|
0.4614
|
0
|
0
|
0
|
0
|
0
|
0
|
1,634.6391
|
0.5029
|
1
|
2016-03-05 12:25:13 |
1.2.2 |
Dexter |
AIDA/CoNLL-Test B |
Entity Recognition |
0.6485
|
0.8346
|
0.5303
|
0.5962
|
0.7793
|
0.5146
|
0.4354
|
0.4623
|
0.4548
|
0.4783
|
0.4963
|
0.4614
|
0
|
0
|
0
|
0
|
0
|
0
|
1,634.6391
|
0.5029
|
0
|
2016-03-05 12:25:13 |
1.2.2 |
Dexter |
AIDA/CoNLL-Test B |
D2KB |
0.3897
|
0.6364
|
0.2808
|
0.377
|
0.647
|
0.2821
|
0.4354
|
0.4623
|
0.4548
|
0.4783
|
0.4963
|
0.4614
|
0
|
0
|
0
|
0
|
0
|
0
|
1,634.6391
|
0.5029
|
0
|
2016-03-05 12:25:13 |
1.2.2 |
Dexter |
AIDA/CoNLL-Training |
|
0.406
|
0.5414
|
0.3248
|
0.3665
|
0.4928
|
0.3163
|
0.4544
|
0.4949
|
0.4833
|
0.5107
|
0.5414
|
0.4832
|
0
|
0
|
0
|
0
|
0
|
0
|
1,769.0085
|
0.5017
|
1
|
2016-03-05 18:01:26 |
1.2.2 |
Dexter |
AIDA/CoNLL-Training |
Entity Recognition |
0.6338
|
0.8253
|
0.5144
|
0.5927
|
0.793
|
0.5138
|
0.4544
|
0.4949
|
0.4833
|
0.5107
|
0.5414
|
0.4832
|
0
|
0
|
0
|
0
|
0
|
0
|
1,769.0085
|
0.5017
|
0
|
2016-03-05 18:01:26 |
1.2.2 |
Dexter |
AIDA/CoNLL-Training |
D2KB |
0.4141
|
0.7052
|
0.2931
|
0.393
|
0.699
|
0.294
|
0.4544
|
0.4949
|
0.4833
|
0.5107
|
0.5414
|
0.4832
|
0
|
0
|
0
|
0
|
0
|
0
|
1,769.0085
|
0.5017
|
0
|
2016-03-05 18:01:26 |
1.2.2 |
Dexter |
AQUAINT |
|
0.4089
|
0.429
|
0.3906
|
0.3942
|
0.4381
|
0.3943
|
0.4072
|
0.4381
|
0.4231
|
0.4223
|
0.429
|
0.4158
|
0
|
0
|
0
|
0
|
0
|
0
|
2,022.04
|
0.5034
|
0
|
2016-03-05 21:43:45 |
1.2.2 |
Dexter |
AQUAINT |
Entity Recognition |
0.512
|
0.5237
|
0.5007
|
0.5061
|
0.5562
|
0.512
|
0.4072
|
0.4381
|
0.4231
|
0.4223
|
0.429
|
0.4158
|
0
|
0
|
0
|
0
|
0
|
0
|
2,022.04
|
0.5034
|
0
|
2016-03-05 21:43:45 |
1.2.2 |
Dexter |
AQUAINT |
D2KB |
0.5136
|
0.8771
|
0.3631
|
0.5016
|
0.8769
|
0.368
|
0.4072
|
0.4381
|
0.4231
|
0.4223
|
0.429
|
0.4158
|
0
|
0
|
0
|
0
|
0
|
0
|
2,022.04
|
0.5034
|
0
|
2016-03-05 21:43:45 |
1.2.2 |
Dexter |
DBpediaSpotlight |
|
0.276
|
0.6867
|
0.1727
|
0.2361
|
0.4721
|
0.175
|
0.2361
|
0.4721
|
0.175
|
0.276
|
0.6867
|
0.1727
|
|
|
|
|
|
|
194.1404
|
0.5
|
1
|
2016-03-05 22:04:45 |
1.2.2 |
Dexter |
DBpediaSpotlight |
Entity Recognition |
0.3602
|
0.8261
|
0.2303
|
0.3371
|
0.6287
|
0.2589
|
0.2361
|
0.4721
|
0.175
|
0.276
|
0.6867
|
0.1727
|
|
|
|
|
|
|
194.1404
|
0.5
|
0
|
2016-03-05 22:04:45 |
1.2.2 |
Dexter |
DBpediaSpotlight |
D2KB |
0.2893
|
0.8906
|
0.1727
|
0.2526
|
0.569
|
0.1836
|
0.2361
|
0.4721
|
0.175
|
0.276
|
0.6867
|
0.1727
|
|
|
|
|
|
|
194.1404
|
0.5
|
0
|
2016-03-05 22:04:45 |
1.2.2 |
Dexter |
IITB |
|
0.2082
|
0.6995
|
0.1223
|
0.2091
|
0.6796
|
0.127
|
0.3093
|
0.6796
|
0.2077
|
0.3142
|
0.6995
|
0.2026
|
0
|
0
|
0
|
0
|
0
|
0
|
3,412.6602
|
0.5009
|
1
|
2016-03-06 20:26:19 |
1.2.2 |
Dexter |
IITB |
Entity Recognition |
0.2773
|
0.8889
|
0.1642
|
0.2782
|
0.8854
|
0.1697
|
0.3093
|
0.6796
|
0.2077
|
0.3142
|
0.6995
|
0.2026
|
0
|
0
|
0
|
0
|
0
|
0
|
3,412.6602
|
0.5009
|
0
|
2016-03-06 20:26:19 |
1.2.2 |
Dexter |
IITB |
D2KB |
0.2006
|
0.8546
|
0.1136
|
0.2013
|
0.8149
|
0.1179
|
0.3093
|
0.6796
|
0.2077
|
0.3142
|
0.6995
|
0.2026
|
0
|
0
|
0
|
0
|
0
|
0
|
3,412.6602
|
0.5009
|
0
|
2016-03-06 20:26:19 |
1.2.2 |
Dexter |
KORE50 |
|
0.2116
|
0.4444
|
0.1389
|
0.155
|
0.235
|
0.1277
|
0.155
|
0.235
|
0.1277
|
0.2116
|
0.4444
|
0.1389
|
|
|
|
|
|
|
145.6531
|
0.5
|
1
|
2016-03-06 03:09:39 |
1.2.2 |
Dexter |
KORE50 |
Entity Recognition |
0.4227
|
0.82
|
0.2847
|
0.36
|
0.5533
|
0.2883
|
0.155
|
0.235
|
0.1277
|
0.2116
|
0.4444
|
0.1389
|
|
|
|
|
|
|
145.6531
|
0.5
|
0
|
2016-03-06 03:09:39 |
1.2.2 |
Dexter |
KORE50 |
D2KB |
0.2034
|
0.5455
|
0.125
|
0.1398
|
0.2233
|
0.111
|
0.155
|
0.235
|
0.1277
|
0.2116
|
0.4444
|
0.1389
|
|
|
|
|
|
|
145.6531
|
0.5
|
0
|
2016-03-06 03:09:39 |
1.2.2 |
Dexter |
Microposts2014-Test |
|
0.3555
|
0.5361
|
0.2659
|
0.4914
|
0.5303
|
0.4785
|
0.4967
|
0.535
|
0.4843
|
0.3576
|
0.5361
|
0.2683
|
0
|
0
|
0
|
0
|
0
|
0
|
153.9981
|
0.5219
|
1
|
2016-03-06 15:13:18 |
1.2.2 |
Dexter |
Microposts2014-Test |
Entity Recognition |
0.4377
|
0.645
|
0.3312
|
0.5333
|
0.5774
|
0.5203
|
0.4967
|
0.535
|
0.4843
|
0.3576
|
0.5361
|
0.2683
|
0
|
0
|
0
|
0
|
0
|
0
|
153.9981
|
0.5219
|
0
|
2016-03-06 15:13:18 |
1.2.2 |
Dexter |
Microposts2014-Test |
D2KB |
0.4015
|
0.8342
|
0.2643
|
0.5855
|
0.6382
|
0.5655
|
0.4967
|
0.535
|
0.4843
|
0.3576
|
0.5361
|
0.2683
|
0
|
0
|
0
|
0
|
0
|
0
|
153.9981
|
0.5219
|
0
|
2016-03-06 15:13:18 |
1.2.2 |
Dexter |
Microposts2014-Train |
|
0.3918
|
0.54
|
0.3074
|
0.4581
|
0.5232
|
0.4395
|
0.4593
|
0.5236
|
0.4415
|
0.3937
|
0.54
|
0.3098
|
0
|
0
|
0
|
0
|
0
|
0
|
146.0265
|
0.5005
|
1
|
2016-03-07 05:03:13 |
1.2.2 |
Dexter |
Microposts2014-Train |
Entity Recognition |
0.505
|
0.648
|
0.4137
|
0.5162
|
0.5937
|
0.4974
|
0.4593
|
0.5236
|
0.4415
|
0.3937
|
0.54
|
0.3098
|
0
|
0
|
0
|
0
|
0
|
0
|
146.0265
|
0.5005
|
0
|
2016-03-07 05:03:13 |
1.2.2 |
Dexter |
Microposts2014-Train |
D2KB |
0.4255
|
0.8312
|
0.286
|
0.5561
|
0.6464
|
0.5215
|
0.4593
|
0.5236
|
0.4415
|
0.3937
|
0.54
|
0.3098
|
0
|
0
|
0
|
0
|
0
|
0
|
146.0265
|
0.5005
|
0
|
2016-03-07 05:03:13 |
1.2.2 |
Dexter |
MSNBC |
|
0.3609
|
0.4875
|
0.2865
|
0.3738
|
0.5
|
0.333
|
0.4121
|
0.5
|
0.3999
|
0.3981
|
0.4875
|
0.3365
|
0
|
0
|
0
|
0
|
0
|
0
|
3,790.3158
|
0.5019
|
1
|
2016-03-06 08:14:02 |
1.2.2 |
Dexter |
MSNBC |
Entity Recognition |
0.4516
|
0.6091
|
0.3588
|
0.4605
|
0.6211
|
0.4037
|
0.4121
|
0.5
|
0.3999
|
0.3981
|
0.4875
|
0.3365
|
0
|
0
|
0
|
0
|
0
|
0
|
3,790.3158
|
0.5019
|
0
|
2016-03-06 08:14:02 |
1.2.2 |
Dexter |
MSNBC |
D2KB |
0.393
|
0.8636
|
0.2544
|
0.4236
|
0.8389
|
0.2927
|
0.4121
|
0.5
|
0.3999
|
0.3981
|
0.4875
|
0.3365
|
0
|
0
|
0
|
0
|
0
|
0
|
3,790.3158
|
0.5019
|
0
|
2016-03-06 08:14:02 |
1.2.2 |
Dexter |
N3-Reuters-128 |
|
0.3424
|
0.3874
|
0.3068
|
0.3269
|
0.3636
|
0.3512
|
0.4128
|
0.4105
|
0.4914
|
0.4103
|
0.3874
|
0.4362
|
0
|
0
|
0
|
0
|
0
|
0
|
796.4531
|
0.5025
|
0
|
2016-03-07 04:05:59 |
1.2.2 |
Dexter |
N3-Reuters-128 |
Entity Recognition |
0.5083
|
0.5544
|
0.4693
|
0.4676
|
0.5153
|
0.5013
|
0.4128
|
0.4105
|
0.4914
|
0.4103
|
0.3874
|
0.4362
|
0
|
0
|
0
|
0
|
0
|
0
|
796.4531
|
0.5025
|
0
|
2016-03-07 04:05:59 |
1.2.2 |
Dexter |
N3-Reuters-128 |
D2KB |
0.357
|
0.7518
|
0.2341
|
0.308
|
0.5227
|
0.2371
|
0.4128
|
0.4105
|
0.4914
|
0.4103
|
0.3874
|
0.4362
|
0
|
0
|
0
|
0
|
0
|
0
|
796.4531
|
0.5025
|
0
|
2016-03-07 04:05:59 |
1.2.2 |
Dexter |
N3-RSS-500 |
|
0.2824
|
0.289
|
0.276
|
0.2515
|
0.2702
|
0.276
|
0.3923
|
0.3762
|
0.464
|
0.3753
|
0.289
|
0.5349
|
0
|
0
|
0
|
0
|
0
|
0
|
263.1242
|
0.5114
|
1
|
2016-03-07 00:43:13 |
1.2.2 |
Dexter |
N3-RSS-500 |
Entity Recognition |
0.4409
|
0.4276
|
0.455
|
0.4118
|
0.4344
|
0.455
|
0.3923
|
0.3762
|
0.464
|
0.3753
|
0.289
|
0.5349
|
0
|
0
|
0
|
0
|
0
|
0
|
263.1242
|
0.5114
|
0
|
2016-03-07 00:43:13 |
1.2.2 |
Dexter |
N3-RSS-500 |
D2KB |
0.3707
|
0.7814
|
0.243
|
0.2937
|
0.395
|
0.243
|
0.3923
|
0.3762
|
0.464
|
0.3753
|
0.289
|
0.5349
|
0
|
0
|
0
|
0
|
0
|
0
|
263.1242
|
0.5114
|
0
|
2016-03-07 00:43:13 |
1.2.2 |
Dexter |
OKE 2015 Task 1 evaluation dataset |
|
0.4406
|
0.676
|
0.3268
|
0.4237
|
0.6594
|
0.3399
|
0.4991
|
0.6594
|
0.4419
|
0.5248
|
0.676
|
0.4289
|
0
|
0
|
0
|
0
|
0
|
0
|
270.8586
|
0.5181
|
2
|
2016-03-07 05:06:05 |
1.2.2 |
Dexter |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.5625
|
0.8506
|
0.4202
|
0.5349
|
0.8199
|
0.4306
|
0.4991
|
0.6594
|
0.4419
|
0.5248
|
0.676
|
0.4289
|
0
|
0
|
0
|
0
|
0
|
0
|
270.8586
|
0.5181
|
0
|
2016-03-07 05:06:05 |
1.2.2 |
Dexter |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.4492
|
0.8701
|
0.3027
|
0.4291
|
0.785
|
0.3176
|
0.4991
|
0.6594
|
0.4419
|
0.5248
|
0.676
|
0.4289
|
0
|
0
|
0
|
0
|
0
|
0
|
270.8586
|
0.5181
|
0
|
2016-03-07 05:06:05 |
1.2.2 |
Dexter |
OKE 2015 Task 1 gold standard sample |
|
0.5764
|
0.7064
|
0.4868
|
0.5325
|
0.6808
|
0.4817
|
0.5977
|
0.7124
|
0.5618
|
0.6182
|
0.7064
|
0.5497
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
268.1489
|
0
|
1
|
2016-03-07 05:27:32 |
1.2.2 |
Dexter |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.691
|
0.8468
|
0.5836
|
0.6509
|
0.8177
|
0.5926
|
0.5977
|
0.7124
|
0.5618
|
0.6182
|
0.7064
|
0.5497
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
268.1489
|
0
|
0
|
2016-03-07 05:27:32 |
1.2.2 |
Dexter |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.5875
|
0.9359
|
0.4282
|
0.5155
|
0.7561
|
0.4203
|
0.5977
|
0.7124
|
0.5618
|
0.6182
|
0.7064
|
0.5497
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
268.1489
|
0
|
0
|
2016-03-07 05:27:32 |
1.2.2 |
Dexter |
Bengal Star 100 (uploaded) |
|
0.6686
|
0.6483
|
0.6903
|
0.6462
|
0.6647
|
0.6668
|
0.6462
|
0.6647
|
0.6668
|
0.6686
|
0.6483
|
0.6903
|
|
|
|
|
|
|
265.51
|
0.5576
|
0
|
2016-03-09 16:35:08 |
1.2.2 |
Dexter |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.8647
|
0.8384
|
0.8927
|
0.8496
|
0.8694
|
0.88
|
0.6462
|
0.6647
|
0.6668
|
0.6686
|
0.6483
|
0.6903
|
|
|
|
|
|
|
265.51
|
0.5576
|
0
|
2016-03-09 16:35:08 |
1.2.2 |
Dexter |
Bengal Star 100 (uploaded) |
D2KB |
0.7007
|
0.9889
|
0.5425
|
0.6059
|
0.7933
|
0.5321
|
0.6462
|
0.6647
|
0.6668
|
0.6686
|
0.6483
|
0.6903
|
|
|
|
|
|
|
265.51
|
0.5576
|
0
|
2016-03-09 16:35:08 |
1.2.2 |
Dexter |
Bengal Star Para 100 (uploaded) |
|
0.6728
|
0.6176
|
0.7389
|
0.6765
|
0.667
|
0.7263
|
0.6765
|
0.667
|
0.7263
|
0.6728
|
0.6176
|
0.7389
|
|
|
|
|
|
|
264.85
|
0
|
0
|
2016-03-09 16:55:04 |
1.2.2 |
Dexter |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.8633
|
0.834
|
0.8947
|
0.8542
|
0.8758
|
0.885
|
0.6765
|
0.667
|
0.7263
|
0.6728
|
0.6176
|
0.7389
|
|
|
|
|
|
|
264.85
|
0
|
0
|
2016-03-09 16:55:04 |
1.2.2 |
Dexter |
Bengal Star Para 100 (uploaded) |
D2KB |
0.7033
|
0.9926
|
0.5445
|
0.6138
|
0.8033
|
0.5371
|
0.6765
|
0.667
|
0.7263
|
0.6728
|
0.6176
|
0.7389
|
|
|
|
|
|
|
264.85
|
0
|
0
|
2016-03-09 16:55:04 |
1.2.2 |
Dexter |
Bengal Sym 100 (uploaded) |
|
0.7039
|
0.6684
|
0.7434
|
0.6778
|
0.6818
|
0.7118
|
0.6778
|
0.6818
|
0.7118
|
0.7039
|
0.6684
|
0.7434
|
|
|
|
|
|
|
341.58
|
0.5561
|
0
|
2016-03-17 16:51:22 |
1.2.2 |
Dexter |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.8541
|
0.8136
|
0.8989
|
0.8354
|
0.8383
|
0.8822
|
0.6778
|
0.6818
|
0.7118
|
0.7039
|
0.6684
|
0.7434
|
|
|
|
|
|
|
341.58
|
0.5561
|
0
|
2016-03-17 16:51:22 |
1.2.2 |
Dexter |
Bengal Sym 100 (uploaded) |
D2KB |
0.7182
|
0.9837
|
0.5655
|
0.6398
|
0.8335
|
0.5613
|
0.6778
|
0.6818
|
0.7118
|
0.7039
|
0.6684
|
0.7434
|
|
|
|
|
|
|
341.58
|
0.5561
|
0
|
2016-03-17 16:51:22 |
1.2.2 |
Dexter |
Bengal Sym Para 100 (uploaded) |
|
0.6935
|
0.6649
|
0.7247
|
0.6623
|
0.6661
|
0.6972
|
0.6623
|
0.6661
|
0.6972
|
0.6935
|
0.6649
|
0.7247
|
|
|
|
|
|
|
260.8571
|
0.5561
|
2
|
2016-03-17 16:51:21 |
1.2.2 |
Dexter |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.8417
|
0.8097
|
0.8764
|
0.814
|
0.8169
|
0.8618
|
0.6623
|
0.6661
|
0.6972
|
0.6935
|
0.6649
|
0.7247
|
|
|
|
|
|
|
260.8571
|
0.5561
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
Dexter |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.7043
|
0.9832
|
0.5487
|
0.6254
|
0.8135
|
0.5483
|
0.6623
|
0.6661
|
0.6972
|
0.6935
|
0.6649
|
0.7247
|
|
|
|
|
|
|
260.8571
|
0.5561
|
0
|
2016-03-17 16:51:21 |
1.2.2 |
Dexter |
Bengal Path 100 (uploaded) |
|
0.7155
|
0.7191
|
0.7121
|
0.6912
|
0.7101
|
0.6943
|
0.6912
|
0.7101
|
0.6943
|
0.7155
|
0.7191
|
0.7121
|
|
|
|
|
|
|
266.1515
|
0.577
|
1
|
2016-03-09 16:43:23 |
1.2.2 |
Dexter |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.8834
|
0.8614
|
0.9066
|
0.8731
|
0.873
|
0.9037
|
0.6912
|
0.7101
|
0.6943
|
0.7155
|
0.7191
|
0.7121
|
|
|
|
|
|
|
266.1515
|
0.577
|
0
|
2016-03-09 16:43:23 |
1.2.2 |
Dexter |
Bengal Path 100 (uploaded) |
D2KB |
0.7488
|
0.9873
|
0.6031
|
0.6912
|
0.8831
|
0.6071
|
0.6912
|
0.7101
|
0.6943
|
0.7155
|
0.7191
|
0.7121
|
|
|
|
|
|
|
266.1515
|
0.577
|
0
|
2016-03-09 16:43:23 |
1.2.2 |
Dexter |
Bengal Path Para 100 (uploaded) |
|
0.7165
|
0.7251
|
0.7082
|
0.6908
|
0.713
|
0.6936
|
0.6908
|
0.713
|
0.6936
|
0.7165
|
0.7251
|
0.7082
|
|
|
|
|
|
|
258.6768
|
0.578
|
1
|
2016-03-09 16:54:31 |
1.2.2 |
Dexter |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.8839
|
0.8944
|
0.8735
|
0.8637
|
0.8877
|
0.8706
|
0.6908
|
0.713
|
0.6936
|
0.7165
|
0.7251
|
0.7082
|
|
|
|
|
|
|
258.6768
|
0.578
|
0
|
2016-03-09 16:54:31 |
1.2.2 |
Dexter |
Bengal Path Para 100 (uploaded) |
D2KB |
0.7442
|
0.9871
|
0.5973
|
0.6865
|
0.8831
|
0.6001
|
0.6908
|
0.713
|
0.6936
|
0.7165
|
0.7251
|
0.7082
|
|
|
|
|
|
|
258.6768
|
0.578
|
0
|
2016-03-09 16:54:31 |
1.2.2 |
Dexter |
Bengal Hybrid 100 (uploaded) |
|
0.6996
|
0.6446
|
0.7648
|
0.7034
|
0.683
|
0.7562
|
0.7034
|
0.683
|
0.7562
|
0.6996
|
0.6446
|
0.7648
|
|
|
|
|
|
|
253.54
|
0
|
0
|
2016-03-11 14:04:23 |
1.2.2 |
Dexter |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.8702
|
0.8018
|
0.9513
|
0.8679
|
0.8366
|
0.9411
|
0.7034
|
0.683
|
0.7562
|
0.6996
|
0.6446
|
0.7648
|
|
|
|
|
|
|
253.54
|
0
|
0
|
2016-03-11 14:04:23 |
1.2.2 |
Dexter |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.7463
|
1
|
0.5953
|
0.6425
|
0.83
|
0.5616
|
0.7034
|
0.683
|
0.7562
|
0.6996
|
0.6446
|
0.7648
|
|
|
|
|
|
|
253.54
|
0
|
0
|
2016-03-11 14:04:23 |
1.2.2 |
Dexter |
Bengal Hybrid Para 100 (uploaded) |
|
0.7042
|
0.6494
|
0.7691
|
0.7079
|
0.6857
|
0.7636
|
0.7079
|
0.6857
|
0.7636
|
0.7042
|
0.6494
|
0.7691
|
|
|
|
|
|
|
250.95
|
0
|
0
|
2016-03-11 14:04:29 |
1.2.2 |
Dexter |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.871
|
0.8032
|
0.9513
|
0.8689
|
0.8383
|
0.9411
|
0.7079
|
0.6857
|
0.7636
|
0.7042
|
0.6494
|
0.7691
|
|
|
|
|
|
|
250.95
|
0
|
0
|
2016-03-11 14:04:29 |
1.2.2 |
Dexter |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.7447
|
1
|
0.5932
|
0.6453
|
0.84
|
0.5606
|
0.7079
|
0.6857
|
0.7636
|
0.7042
|
0.6494
|
0.7691
|
|
|
|
|
|
|
250.95
|
0
|
0
|
2016-03-11 14:04:29 |
1.2.2 |
Dexter |
Bengal Summary 100 (uploaded) |
|
0.5727
|
0.5478
|
0.6
|
0.6285
|
0.6137
|
0.6758
|
0.6285
|
0.6137
|
0.6758
|
0.5727
|
0.5478
|
0.6
|
|
|
|
|
|
|
320.6429
|
0
|
2
|
2016-03-17 16:41:17 |
1.2.2 |
Dexter |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7545
|
0.7217
|
0.7905
|
0.7797
|
0.7603
|
0.8429
|
0.6285
|
0.6137
|
0.6758
|
0.5727
|
0.5478
|
0.6
|
|
|
|
|
|
|
320.6429
|
0
|
0
|
2016-03-17 16:41:17 |
1.2.2 |
Dexter |
Bengal Summary 100 (uploaded) |
D2KB |
0.6369
|
0.9615
|
0.4762
|
0.5752
|
0.7233
|
0.5211
|
0.6285
|
0.6137
|
0.6758
|
0.5727
|
0.5478
|
0.6
|
|
|
|
|
|
|
320.6429
|
0
|
0
|
2016-03-17 16:41:17 |
1.2.2 |
Dexter |
Bengal Summary Para 100 (uploaded) |
|
0.5843
|
0.5447
|
0.6301
|
0.6473
|
0.6259
|
0.6999
|
0.6473
|
0.6259
|
0.6999
|
0.5843
|
0.5447
|
0.6301
|
|
|
|
|
|
|
332.9
|
0
|
0
|
2016-03-17 16:41:13 |
1.2.2 |
Dexter |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7587
|
0.7073
|
0.8182
|
0.7939
|
0.7681
|
0.8625
|
0.6473
|
0.6259
|
0.6999
|
0.5843
|
0.5447
|
0.6301
|
|
|
|
|
|
|
332.9
|
0
|
0
|
2016-03-17 16:41:13 |
1.2.2 |
Dexter |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.6329
|
0.9677
|
0.4702
|
0.582
|
0.7333
|
0.5276
|
0.6473
|
0.6259
|
0.6999
|
0.5843
|
0.5447
|
0.6301
|
|
|
|
|
|
|
332.9
|
0
|
0
|
2016-03-17 16:41:13 |
1.2.2 |
Entityclassifier.eu NER |
ACE2004 |
|
0.138
|
0.0792
|
0.5359
|
0.1317
|
0.0873
|
0.3332
|
0.1359
|
0.0873
|
0.3895
|
0.1414
|
0.0792
|
0.656
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
142.6
|
0
|
2
|
2016-03-04 21:51:11 |
1.2.2 |
Entityclassifier.eu NER |
ACE2004 |
Entity Recognition |
0.2306
|
0.1324
|
0.8954
|
0.2269
|
0.1521
|
0.5589
|
0.1359
|
0.0873
|
0.3895
|
0.1414
|
0.0792
|
0.656
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
142.6
|
0
|
0
|
2016-03-04 21:51:11 |
1.2.2 |
Entityclassifier.eu NER |
ACE2004 |
D2KB |
0.5508
|
0.634
|
0.4869
|
0.6927
|
0.7252
|
0.6678
|
0.1359
|
0.0873
|
0.3895
|
0.1414
|
0.0792
|
0.656
|
0.5965
|
0.5965
|
0.5965
|
0
|
0
|
0
|
142.6
|
0
|
0
|
2016-03-04 21:51:11 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Complete |
|
0.3915
|
0.3807
|
0.403
|
0.3651
|
0.3488
|
0.3943
|
0.4224
|
0.3495
|
0.6031
|
0.4652
|
0.3807
|
0.5981
|
0.056
|
0.056
|
0.056
|
0
|
0
|
0
|
83.4351
|
0
|
7
|
2016-03-06 00:15:00 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Complete |
Entity Recognition |
0.842
|
0.8187
|
0.8668
|
0.8075
|
0.7686
|
0.8779
|
0.4224
|
0.3495
|
0.6031
|
0.4652
|
0.3807
|
0.5981
|
0.056
|
0.056
|
0.056
|
0
|
0
|
0
|
83.4351
|
0
|
0
|
2016-03-06 00:15:00 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Complete |
D2KB |
0.439
|
0.5173
|
0.3812
|
0.4206
|
0.5012
|
0.3716
|
0.4224
|
0.3495
|
0.6031
|
0.4652
|
0.3807
|
0.5981
|
0.056
|
0.056
|
0.056
|
0
|
0
|
0
|
83.4351
|
0
|
0
|
2016-03-06 00:15:00 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Test A |
|
0.3766
|
0.3746
|
0.3787
|
0.3654
|
0.3523
|
0.3898
|
0.417
|
0.3523
|
0.5749
|
0.4432
|
0.3746
|
0.5426
|
0.0602
|
0.0602
|
0.0602
|
0
|
0
|
0
|
100.912
|
0
|
0
|
2016-03-05 06:55:28 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Test A |
Entity Recognition |
0.8178
|
0.8133
|
0.8224
|
0.8066
|
0.7705
|
0.8712
|
0.417
|
0.3523
|
0.5749
|
0.4432
|
0.3746
|
0.5426
|
0.0602
|
0.0602
|
0.0602
|
0
|
0
|
0
|
100.912
|
0
|
0
|
2016-03-05 06:55:28 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Test A |
D2KB |
0.4246
|
0.5189
|
0.3593
|
0.4221
|
0.5027
|
0.3706
|
0.417
|
0.3523
|
0.5749
|
0.4432
|
0.3746
|
0.5426
|
0.0602
|
0.0602
|
0.0602
|
0
|
0
|
0
|
100.912
|
0
|
0
|
2016-03-05 06:55:28 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Test B |
|
0.3658
|
0.3551
|
0.3771
|
0.3516
|
0.3335
|
0.3851
|
0.4072
|
0.3335
|
0.5877
|
0.4391
|
0.3551
|
0.5752
|
0.0606
|
0.0606
|
0.0606
|
0
|
0
|
0
|
86.3624
|
0
|
2
|
2016-03-05 12:48:02 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Test B |
Entity Recognition |
0.844
|
0.8193
|
0.8702
|
0.8004
|
0.7598
|
0.8772
|
0.4072
|
0.3335
|
0.5877
|
0.4391
|
0.3551
|
0.5752
|
0.0606
|
0.0606
|
0.0606
|
0
|
0
|
0
|
86.3624
|
0
|
0
|
2016-03-05 12:48:02 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Test B |
D2KB |
0.4026
|
0.4707
|
0.3517
|
0.4037
|
0.4761
|
0.3588
|
0.4072
|
0.3335
|
0.5877
|
0.4391
|
0.3551
|
0.5752
|
0.0606
|
0.0606
|
0.0606
|
0
|
0
|
0
|
86.3624
|
0
|
0
|
2016-03-05 12:48:02 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Training |
|
0.4013
|
0.3882
|
0.4154
|
0.3683
|
0.3518
|
0.3975
|
0.4273
|
0.3529
|
0.6133
|
0.4769
|
0.3882
|
0.618
|
0.0539
|
0.0539
|
0.0539
|
0
|
0
|
0
|
82.898
|
0
|
5
|
2016-03-06 00:14:55 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Training |
Entity Recognition |
0.8475
|
0.8198
|
0.8772
|
0.8094
|
0.7703
|
0.8796
|
0.4273
|
0.3529
|
0.6133
|
0.4769
|
0.3882
|
0.618
|
0.0539
|
0.0539
|
0.0539
|
0
|
0
|
0
|
82.898
|
0
|
0
|
2016-03-06 00:14:55 |
1.2.2 |
Entityclassifier.eu NER |
AIDA/CoNLL-Training |
D2KB |
0.4512
|
0.5281
|
0.3939
|
0.4243
|
0.5069
|
0.3749
|
0.4273
|
0.3529
|
0.6133
|
0.4769
|
0.3882
|
0.618
|
0.0539
|
0.0539
|
0.0539
|
0
|
0
|
0
|
82.898
|
0
|
0
|
2016-03-06 00:14:55 |
1.2.2 |
Entityclassifier.eu NER |
AQUAINT |
|
0.2635
|
0.218
|
0.3329
|
0.2402
|
0.2049
|
0.3248
|
0.247
|
0.2049
|
0.346
|
0.2699
|
0.218
|
0.3543
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
122.64
|
0
|
0
|
2016-03-05 21:53:44 |
1.2.2 |
Entityclassifier.eu NER |
AQUAINT |
Entity Recognition |
0.4137
|
0.3423
|
0.5227
|
0.3859
|
0.3388
|
0.5133
|
0.247
|
0.2049
|
0.346
|
0.2699
|
0.218
|
0.3543
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
122.64
|
0
|
0
|
2016-03-05 21:53:44 |
1.2.2 |
Entityclassifier.eu NER |
AQUAINT |
D2KB |
0.4033
|
0.8
|
0.2696
|
0.3687
|
0.746
|
0.2597
|
0.247
|
0.2049
|
0.346
|
0.2699
|
0.218
|
0.3543
|
0.48
|
0.48
|
0.48
|
0
|
0
|
0
|
122.64
|
0
|
0
|
2016-03-05 21:53:44 |
1.2.2 |
Entityclassifier.eu NER |
DBpediaSpotlight |
|
0.24
|
0.5368
|
0.1545
|
0.1889
|
0.3406
|
0.143
|
0.1889
|
0.3406
|
0.143
|
0.24
|
0.5368
|
0.1545
|
|
|
|
|
|
|
27.6379
|
0
|
0
|
2016-03-05 22:05:24 |
1.2.2 |
Entityclassifier.eu NER |
DBpediaSpotlight |
Entity Recognition |
0.3435
|
0.7684
|
0.2212
|
0.274
|
0.5086
|
0.2054
|
0.1889
|
0.3406
|
0.143
|
0.24
|
0.5368
|
0.1545
|
|
|
|
|
|
|
27.6379
|
0
|
0
|
2016-03-05 22:05:24 |
1.2.2 |
Entityclassifier.eu NER |
DBpediaSpotlight |
D2KB |
0.2494
|
0.8727
|
0.1455
|
0.1959
|
0.4401
|
0.137
|
0.1889
|
0.3406
|
0.143
|
0.24
|
0.5368
|
0.1545
|
|
|
|
|
|
|
27.6379
|
0
|
0
|
2016-03-05 22:05:24 |
1.2.2 |
Entityclassifier.eu NER |
IITB |
|
0.1476
|
0.4075
|
0.0901
|
0.1606
|
0.3531
|
0.1082
|
0.228
|
0.3531
|
0.1811
|
0.2185
|
0.4075
|
0.1493
|
0
|
0
|
0
|
0
|
0
|
0
|
172.3474
|
0
|
9
|
2016-03-06 20:41:40 |
1.2.2 |
Entityclassifier.eu NER |
IITB |
Entity Recognition |
0.2909
|
0.8032
|
0.1776
|
0.304
|
0.6979
|
0.2026
|
0.228
|
0.3531
|
0.1811
|
0.2185
|
0.4075
|
0.1493
|
0
|
0
|
0
|
0
|
0
|
0
|
172.3474
|
0
|
0
|
2016-03-06 20:41:40 |
1.2.2 |
Entityclassifier.eu NER |
IITB |
D2KB |
0.1379
|
0.6391
|
0.0773
|
0.151
|
0.5375
|
0.0929
|
0.228
|
0.3531
|
0.1811
|
0.2185
|
0.4075
|
0.1493
|
0
|
0
|
0
|
0
|
0
|
0
|
172.3474
|
0
|
0
|
2016-03-06 20:41:40 |
1.2.2 |
Entityclassifier.eu NER |
KORE50 |
|
0.2997
|
0.3007
|
0.2986
|
0.2697
|
0.2777
|
0.2663
|
0.2697
|
0.2777
|
0.2663
|
0.2997
|
0.3007
|
0.2986
|
|
|
|
|
|
|
68.7
|
0
|
0
|
2016-03-06 03:14:20 |
1.2.2 |
Entityclassifier.eu NER |
KORE50 |
Entity Recognition |
0.9338
|
0.9371
|
0.9306
|
0.9169
|
0.935
|
0.9267
|
0.2697
|
0.2777
|
0.2663
|
0.2997
|
0.3007
|
0.2986
|
|
|
|
|
|
|
68.7
|
0
|
0
|
2016-03-06 03:14:20 |
1.2.2 |
Entityclassifier.eu NER |
KORE50 |
D2KB |
0.2974
|
0.32
|
0.2778
|
0.2573
|
0.2743
|
0.248
|
0.2697
|
0.2777
|
0.2663
|
0.2997
|
0.3007
|
0.2986
|
|
|
|
|
|
|
68.7
|
0
|
0
|
2016-03-06 03:14:20 |
1.2.2 |
Entityclassifier.eu NER |
Microposts2014-Test |
|
0.2975
|
0.2803
|
0.3169
|
0.3952
|
0.4042
|
0.4086
|
0.3955
|
0.4042
|
0.4097
|
0.2987
|
0.2803
|
0.3197
|
0.9915
|
0.9915
|
0.9915
|
0
|
0
|
0
|
35.5912
|
0
|
13
|
2016-03-06 15:54:15 |
1.2.2 |
Entityclassifier.eu NER |
Microposts2014-Test |
Entity Recognition |
0.5209
|
0.4908
|
0.5549
|
0.5413
|
0.5522
|
0.5658
|
0.3955
|
0.4042
|
0.4097
|
0.2987
|
0.2803
|
0.3197
|
0.9915
|
0.9915
|
0.9915
|
0
|
0
|
0
|
35.5912
|
0
|
0
|
2016-03-06 15:54:15 |
1.2.2 |
Entityclassifier.eu NER |
Microposts2014-Test |
D2KB |
0.4057
|
0.6514
|
0.2946
|
0.5903
|
0.6329
|
0.5723
|
0.3955
|
0.4042
|
0.4097
|
0.2987
|
0.2803
|
0.3197
|
0.9915
|
0.9915
|
0.9915
|
0
|
0
|
0
|
35.5912
|
0
|
0
|
2016-03-06 15:54:15 |
1.2.2 |
Entityclassifier.eu NER |
Microposts2014-Train |
|
0.3603
|
0.3291
|
0.398
|
0.4056
|
0.4071
|
0.4321
|
0.4063
|
0.4071
|
0.4349
|
0.3615
|
0.3291
|
0.401
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
34.8613
|
0
|
18
|
2016-03-07 06:05:18 |
1.2.2 |
Entityclassifier.eu NER |
Microposts2014-Train |
Entity Recognition |
0.6076
|
0.5551
|
0.6711
|
0.5738
|
0.5758
|
0.6214
|
0.4063
|
0.4071
|
0.4349
|
0.3615
|
0.3291
|
0.401
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
34.8613
|
0
|
0
|
2016-03-07 06:05:18 |
1.2.2 |
Entityclassifier.eu NER |
Microposts2014-Train |
D2KB |
0.4757
|
0.6943
|
0.3619
|
0.5937
|
0.6616
|
0.5634
|
0.4063
|
0.4071
|
0.4349
|
0.3615
|
0.3291
|
0.401
|
0.9885
|
0.9885
|
0.9885
|
0
|
0
|
0
|
34.8613
|
0
|
0
|
2016-03-07 06:05:18 |
1.2.2 |
Entityclassifier.eu NER |
MSNBC |
|
0.4446
|
0.4006
|
0.4993
|
0.4271
|
0.3789
|
0.4946
|
0.4547
|
0.3789
|
0.5894
|
0.4761
|
0.4006
|
0.5865
|
0.1
|
0.1
|
0.1
|
0
|
0
|
0
|
194.7895
|
0
|
1
|
2016-03-06 08:24:58 |
1.2.2 |
Entityclassifier.eu NER |
MSNBC |
Entity Recognition |
0.8451
|
0.7615
|
0.9491
|
0.794
|
0.7016
|
0.9253
|
0.4547
|
0.3789
|
0.5894
|
0.4761
|
0.4006
|
0.5865
|
0.1
|
0.1
|
0.1
|
0
|
0
|
0
|
194.7895
|
0
|
0
|
2016-03-06 08:24:58 |
1.2.2 |
Entityclassifier.eu NER |
MSNBC |
D2KB |
0.4924
|
0.5672
|
0.4351
|
0.4855
|
0.5529
|
0.4355
|
0.4547
|
0.3789
|
0.5894
|
0.4761
|
0.4006
|
0.5865
|
0.1
|
0.1
|
0.1
|
0
|
0
|
0
|
194.7895
|
0
|
0
|
2016-03-06 08:24:58 |
1.2.2 |
Entityclassifier.eu NER |
N3-Reuters-128 |
|
0.3047
|
0.2505
|
0.3886
|
0.288
|
0.243
|
0.3828
|
0.3091
|
0.243
|
0.4889
|
0.3448
|
0.2505
|
0.5525
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
63.2578
|
0
|
0
|
2016-03-07 04:19:07 |
1.2.2 |
Entityclassifier.eu NER |
N3-Reuters-128 |
Entity Recognition |
0.7599
|
0.6249
|
0.9693
|
0.7319
|
0.6162
|
0.9762
|
0.3091
|
0.243
|
0.4889
|
0.3448
|
0.2505
|
0.5525
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
63.2578
|
0
|
0
|
2016-03-07 04:19:07 |
1.2.2 |
Entityclassifier.eu NER |
N3-Reuters-128 |
D2KB |
0.3664
|
0.4428
|
0.3125
|
0.3377
|
0.4047
|
0.3038
|
0.3091
|
0.243
|
0.4889
|
0.3448
|
0.2505
|
0.5525
|
0.4062
|
0.4062
|
0.4062
|
0
|
0
|
0
|
63.2578
|
0
|
0
|
2016-03-07 04:19:07 |
1.2.2 |
Entityclassifier.eu NER |
N3-RSS-500 |
|
0.2054
|
0.1491
|
0.33
|
0.2242
|
0.1836
|
0.33
|
0.2459
|
0.1856
|
0.443
|
0.2418
|
0.1491
|
0.6395
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
44.3226
|
0
|
1
|
2016-03-07 01:38:49 |
1.2.2 |
Entityclassifier.eu NER |
N3-RSS-500 |
Entity Recognition |
0.6073
|
0.4408
|
0.976
|
0.6824
|
0.5669
|
0.976
|
0.2459
|
0.1856
|
0.443
|
0.2418
|
0.1491
|
0.6395
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
44.3226
|
0
|
0
|
2016-03-07 01:38:49 |
1.2.2 |
Entityclassifier.eu NER |
N3-RSS-500 |
D2KB |
0.3333
|
0.3605
|
0.31
|
0.322
|
0.346
|
0.31
|
0.2459
|
0.1856
|
0.443
|
0.2418
|
0.1491
|
0.6395
|
0.328
|
0.328
|
0.328
|
0
|
0
|
0
|
44.3226
|
0
|
0
|
2016-03-07 01:38:49 |
1.2.2 |
Entityclassifier.eu NER |
OKE 2015 Task 1 evaluation dataset |
|
0.2804
|
0.3383
|
0.2395
|
0.2771
|
0.3474
|
0.2456
|
0.3197
|
0.3474
|
0.3247
|
0.3258
|
0.3383
|
0.3142
|
0.3366
|
0.3366
|
0.3366
|
0
|
0
|
0
|
48.9901
|
0
|
0
|
2016-03-07 05:06:02 |
1.2.2 |
Entityclassifier.eu NER |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.6102
|
0.7362
|
0.5211
|
0.599
|
0.7458
|
0.5397
|
0.3197
|
0.3474
|
0.3247
|
0.3258
|
0.3383
|
0.3142
|
0.3366
|
0.3366
|
0.3366
|
0
|
0
|
0
|
48.9901
|
0
|
0
|
2016-03-07 05:06:02 |
1.2.2 |
Entityclassifier.eu NER |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.3079
|
0.5595
|
0.2123
|
0.2893
|
0.4986
|
0.2173
|
0.3197
|
0.3474
|
0.3247
|
0.3258
|
0.3383
|
0.3142
|
0.3366
|
0.3366
|
0.3366
|
0
|
0
|
0
|
48.9901
|
0
|
0
|
2016-03-07 05:06:02 |
1.2.2 |
Entityclassifier.eu NER |
OKE 2015 Task 1 gold standard sample |
|
0.1871
|
0.1836
|
0.1906
|
0.1753
|
0.2051
|
0.1713
|
0.2116
|
0.2262
|
0.2179
|
0.1982
|
0.1836
|
0.2152
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
29.5368
|
0
|
0
|
2016-03-07 05:30:07 |
1.2.2 |
Entityclassifier.eu NER |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.6216
|
0.6102
|
0.6334
|
0.5888
|
0.6267
|
0.6478
|
0.2116
|
0.2262
|
0.2179
|
0.1982
|
0.1836
|
0.2152
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
29.5368
|
0
|
0
|
2016-03-07 05:30:07 |
1.2.2 |
Entityclassifier.eu NER |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.1996
|
0.3615
|
0.1378
|
0.1566
|
0.244
|
0.1241
|
0.2116
|
0.2262
|
0.2179
|
0.1982
|
0.1836
|
0.2152
|
0.6947
|
0.6947
|
0.6947
|
0
|
0
|
0
|
29.5368
|
0
|
0
|
2016-03-07 05:30:07 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Star 100 (uploaded) |
|
0.2168
|
0.217
|
0.2166
|
0.2187
|
0.2917
|
0.2029
|
0.2187
|
0.2917
|
0.2029
|
0.2168
|
0.217
|
0.2166
|
|
|
|
|
|
|
105.82
|
0
|
0
|
2016-03-09 16:35:21 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.7295
|
0.7302
|
0.7287
|
0.678
|
0.7736
|
0.7077
|
0.2187
|
0.2917
|
0.2029
|
0.2168
|
0.217
|
0.2166
|
|
|
|
|
|
|
105.82
|
0
|
0
|
2016-03-09 16:35:21 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Star 100 (uploaded) |
D2KB |
0.2817
|
0.6207
|
0.1822
|
0.2335
|
0.4374
|
0.1738
|
0.2187
|
0.2917
|
0.2029
|
0.2168
|
0.217
|
0.2166
|
|
|
|
|
|
|
105.82
|
0
|
0
|
2016-03-09 16:35:21 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Star Para 100 (uploaded) |
|
0.2117
|
0.207
|
0.2166
|
0.2103
|
0.2697
|
0.2029
|
0.2103
|
0.2697
|
0.2029
|
0.2117
|
0.207
|
0.2166
|
|
|
|
|
|
|
50.48
|
0
|
0
|
2016-03-09 16:54:50 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7102
|
0.6944
|
0.7267
|
0.6579
|
0.729
|
0.7061
|
0.2103
|
0.2697
|
0.2029
|
0.2117
|
0.207
|
0.2166
|
|
|
|
|
|
|
50.48
|
0
|
0
|
2016-03-09 16:54:50 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Star Para 100 (uploaded) |
D2KB |
0.2817
|
0.6207
|
0.1822
|
0.2335
|
0.4374
|
0.1737
|
0.2103
|
0.2697
|
0.2029
|
0.2117
|
0.207
|
0.2166
|
|
|
|
|
|
|
50.48
|
0
|
0
|
2016-03-09 16:54:50 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Sym 100 (uploaded) |
|
0.1407
|
0.1429
|
0.1386
|
0.1476
|
0.1853
|
0.1402
|
0.1476
|
0.1853
|
0.1402
|
0.1407
|
0.1429
|
0.1386
|
|
|
|
|
|
|
52.84
|
0
|
0
|
2016-03-17 16:51:22 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.6901
|
0.7008
|
0.6798
|
0.6665
|
0.7386
|
0.6895
|
0.1476
|
0.1853
|
0.1402
|
0.1407
|
0.1429
|
0.1386
|
|
|
|
|
|
|
52.84
|
0
|
0
|
2016-03-17 16:51:22 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Sym 100 (uploaded) |
D2KB |
0.1876
|
0.4882
|
0.1161
|
0.164
|
0.3472
|
0.1165
|
0.1476
|
0.1853
|
0.1402
|
0.1407
|
0.1429
|
0.1386
|
|
|
|
|
|
|
52.84
|
0
|
0
|
2016-03-17 16:51:22 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Sym Para 100 (uploaded) |
|
0.1348
|
0.1348
|
0.1348
|
0.1433
|
0.1702
|
0.139
|
0.1433
|
0.1702
|
0.139
|
0.1348
|
0.1348
|
0.1348
|
|
|
|
|
|
|
49.56
|
0
|
0
|
2016-03-17 16:51:20 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.6648
|
0.6648
|
0.6648
|
0.6289
|
0.6774
|
0.6683
|
0.1433
|
0.1702
|
0.139
|
0.1348
|
0.1348
|
0.1348
|
|
|
|
|
|
|
49.56
|
0
|
0
|
2016-03-17 16:51:20 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.1793
|
0.4758
|
0.1105
|
0.1551
|
0.3272
|
0.1102
|
0.1433
|
0.1702
|
0.139
|
0.1348
|
0.1348
|
0.1348
|
|
|
|
|
|
|
49.56
|
0
|
0
|
2016-03-17 16:51:20 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Path 100 (uploaded) |
|
0.1896
|
0.1991
|
0.1809
|
0.1563
|
0.1715
|
0.1564
|
0.1563
|
0.1715
|
0.1564
|
0.1896
|
0.1991
|
0.1809
|
|
|
|
|
|
|
107.26
|
0
|
0
|
2016-03-09 16:39:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.7176
|
0.7537
|
0.6848
|
0.6766
|
0.7707
|
0.6788
|
0.1563
|
0.1715
|
0.1564
|
0.1896
|
0.1991
|
0.1809
|
|
|
|
|
|
|
107.26
|
0
|
0
|
2016-03-09 16:39:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Path 100 (uploaded) |
D2KB |
0.2484
|
0.6154
|
0.1556
|
0.1833
|
0.3158
|
0.1372
|
0.1563
|
0.1715
|
0.1564
|
0.1896
|
0.1991
|
0.1809
|
|
|
|
|
|
|
107.26
|
0
|
0
|
2016-03-09 16:39:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Path Para 100 (uploaded) |
|
0.1911
|
0.1979
|
0.1848
|
0.1604
|
0.1821
|
0.1577
|
0.1604
|
0.1821
|
0.1577
|
0.1911
|
0.1979
|
0.1848
|
|
|
|
|
|
|
49.12
|
0
|
0
|
2016-03-09 16:54:36 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7022
|
0.7271
|
0.679
|
0.6555
|
0.7339
|
0.6676
|
0.1604
|
0.1821
|
0.1577
|
0.1911
|
0.1979
|
0.1848
|
|
|
|
|
|
|
49.12
|
0
|
0
|
2016-03-09 16:54:36 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Path Para 100 (uploaded) |
D2KB |
0.2441
|
0.624
|
0.1518
|
0.1686
|
0.303
|
0.1234
|
0.1604
|
0.1821
|
0.1577
|
0.1911
|
0.1979
|
0.1848
|
|
|
|
|
|
|
49.12
|
0
|
0
|
2016-03-09 16:54:36 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Hybrid 100 (uploaded) |
|
0.2165
|
0.2212
|
0.2119
|
0.194
|
0.2375
|
0.1883
|
0.194
|
0.2375
|
0.1883
|
0.2165
|
0.2212
|
0.2119
|
|
|
|
|
|
|
108.01
|
0
|
0
|
2016-03-11 14:02:17 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.7468
|
0.7633
|
0.7309
|
0.7156
|
0.7723
|
0.7438
|
0.194
|
0.2375
|
0.1883
|
0.2165
|
0.2212
|
0.2119
|
|
|
|
|
|
|
108.01
|
0
|
0
|
2016-03-11 14:02:17 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.2924
|
0.6769
|
0.1864
|
0.2078
|
0.3859
|
0.156
|
0.194
|
0.2375
|
0.1883
|
0.2165
|
0.2212
|
0.2119
|
|
|
|
|
|
|
108.01
|
0
|
0
|
2016-03-11 14:02:17 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Hybrid Para 100 (uploaded) |
|
0.2119
|
0.2119
|
0.2119
|
0.19
|
0.2192
|
0.1883
|
0.19
|
0.2192
|
0.1883
|
0.2119
|
0.2119
|
0.2119
|
|
|
|
|
|
|
106.1
|
0
|
0
|
2016-03-11 14:02:16 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.7309
|
0.7309
|
0.7309
|
0.7035
|
0.7418
|
0.7438
|
0.19
|
0.2192
|
0.1883
|
0.2119
|
0.2119
|
0.2119
|
|
|
|
|
|
|
106.1
|
0
|
0
|
2016-03-11 14:02:16 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.2928
|
0.6822
|
0.1864
|
0.208
|
0.3866
|
0.156
|
0.19
|
0.2192
|
0.1883
|
0.2119
|
0.2119
|
0.2119
|
|
|
|
|
|
|
106.1
|
0
|
0
|
2016-03-11 14:02:16 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Summary 100 (uploaded) |
|
0.2441
|
0.2274
|
0.2635
|
0.2698
|
0.3285
|
0.2619
|
0.2698
|
0.3285
|
0.2619
|
0.2441
|
0.2274
|
0.2635
|
|
|
|
|
|
|
87.4
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7412
|
0.6904
|
0.8
|
0.7465
|
0.7756
|
0.812
|
0.2698
|
0.3285
|
0.2619
|
0.2441
|
0.2274
|
0.2635
|
|
|
|
|
|
|
87.4
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Summary 100 (uploaded) |
D2KB |
0.3599
|
0.6371
|
0.2508
|
0.321
|
0.5537
|
0.2437
|
0.2698
|
0.3285
|
0.2619
|
0.2441
|
0.2274
|
0.2635
|
|
|
|
|
|
|
87.4
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Summary Para 100 (uploaded) |
|
0.2425
|
0.2225
|
0.2665
|
0.2721
|
0.3288
|
0.2651
|
0.2721
|
0.3288
|
0.2651
|
0.2425
|
0.2225
|
0.2665
|
|
|
|
|
|
|
87.1
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7504
|
0.6885
|
0.8245
|
0.7522
|
0.7768
|
0.8197
|
0.2721
|
0.3288
|
0.2651
|
0.2425
|
0.2225
|
0.2665
|
|
|
|
|
|
|
87.1
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
Entityclassifier.eu NER |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.3596
|
0.6349
|
0.2508
|
0.322
|
0.5535
|
0.2457
|
0.2721
|
0.3288
|
0.2651
|
0.2425
|
0.2225
|
0.2665
|
|
|
|
|
|
|
87.1
|
0
|
0
|
2016-03-17 16:40:41 |
1.2.2 |
FOX |
ACE2004 |
|
0.1274
|
0.0764
|
0.3824
|
0.1477
|
0.1108
|
0.2782
|
0.1564
|
0.116
|
0.2917
|
0.1309
|
0.0777
|
0.416
|
0.2148
|
0.2052
|
0.2563
|
0.1048
|
0.0677
|
0.2321
|
39,062.2679
|
0
|
1
|
2016-03-04 21:42:49 |
1.2.2 |
FOX |
ACE2004 |
Entity Recognition |
0.2112
|
0.1267
|
0.634
|
0.2215
|
0.1653
|
0.4151
|
0.1564
|
0.116
|
0.2917
|
0.1309
|
0.0777
|
0.416
|
0.2148
|
0.2052
|
0.2563
|
0.1048
|
0.0677
|
0.2321
|
39,062.2679
|
0
|
0
|
2016-03-04 21:42:49 |
1.2.2 |
FOX |
ACE2004 |
D2KB |
0
|
0
|
0
|
0.3684
|
0.3684
|
0.3684
|
0.1564
|
0.116
|
0.2917
|
0.1309
|
0.0777
|
0.416
|
0.2148
|
0.2052
|
0.2563
|
0.1048
|
0.0677
|
0.2321
|
39,062.2679
|
0
|
0
|
2016-03-04 21:42:49 |
1.2.2 |
FOX |
AIDA/CoNLL-Complete |
|
0.4518
|
0.5408
|
0.388
|
0.4426
|
0.5191
|
0.399
|
0.4552
|
0.5005
|
0.4548
|
0.4943
|
0.5414
|
0.4548
|
0.3081
|
0.4628
|
0.274
|
0.3416
|
0.5385
|
0.2501
|
89,711.1676
|
0
|
3
|
2016-03-06 23:11:38 |
1.2.2 |
FOX |
AIDA/CoNLL-Complete |
Entity Recognition |
0.8287
|
0.9918
|
0.7116
|
0.8211
|
0.9845
|
0.7366
|
0.4552
|
0.5005
|
0.4548
|
0.4943
|
0.5414
|
0.4548
|
0.3081
|
0.4628
|
0.274
|
0.3416
|
0.5385
|
0.2501
|
89,711.1676
|
0
|
0
|
2016-03-06 23:11:38 |
1.2.2 |
FOX |
AIDA/CoNLL-Complete |
D2KB |
0.4466
|
0.5505
|
0.3756
|
0.4358
|
0.5247
|
0.3878
|
0.4552
|
0.5005
|
0.4548
|
0.4943
|
0.5414
|
0.4548
|
0.3081
|
0.4628
|
0.274
|
0.3416
|
0.5385
|
0.2501
|
89,711.1676
|
0
|
0
|
2016-03-06 23:11:38 |
1.2.2 |
FOX |
AIDA/CoNLL-Test A |
|
0.4611
|
0.5368
|
0.4041
|
0.4101
|
0.476
|
0.3693
|
0.4297
|
0.4693
|
0.424
|
0.5176
|
0.5562
|
0.484
|
0.2585
|
0.408
|
0.2322
|
0.2962
|
0.4558
|
0.2194
|
32,657.8558
|
0
|
1
|
2016-03-05 06:58:56 |
1.2.2 |
FOX |
AIDA/CoNLL-Test A |
Entity Recognition |
0.8508
|
0.9906
|
0.7456
|
0.8212
|
0.9831
|
0.7324
|
0.4297
|
0.4693
|
0.424
|
0.5176
|
0.5562
|
0.484
|
0.2585
|
0.408
|
0.2322
|
0.2962
|
0.4558
|
0.2194
|
32,657.8558
|
0
|
0
|
2016-03-05 06:58:56 |
1.2.2 |
FOX |
AIDA/CoNLL-Test A |
D2KB |
0.4589
|
0.5513
|
0.3929
|
0.4046
|
0.4924
|
0.356
|
0.4297
|
0.4693
|
0.424
|
0.5176
|
0.5562
|
0.484
|
0.2585
|
0.408
|
0.2322
|
0.2962
|
0.4558
|
0.2194
|
32,657.8558
|
0
|
0
|
2016-03-05 06:58:56 |
1.2.2 |
FOX |
AIDA/CoNLL-Test B |
|
0.4459
|
0.5163
|
0.3925
|
0.4423
|
0.5182
|
0.3995
|
0.4664
|
0.5063
|
0.4722
|
0.501
|
0.518
|
0.4851
|
0.278
|
0.4239
|
0.2455
|
0.3034
|
0.5091
|
0.2161
|
67,526.0087
|
0
|
1
|
2016-03-05 16:55:33 |
1.2.2 |
FOX |
AIDA/CoNLL-Test B |
Entity Recognition |
0.8471
|
0.9808
|
0.7455
|
0.8254
|
0.9729
|
0.7411
|
0.4664
|
0.5063
|
0.4722
|
0.501
|
0.518
|
0.4851
|
0.278
|
0.4239
|
0.2455
|
0.3034
|
0.5091
|
0.2161
|
67,526.0087
|
0
|
0
|
2016-03-05 16:55:33 |
1.2.2 |
FOX |
AIDA/CoNLL-Test B |
D2KB |
0.4417
|
0.5341
|
0.3766
|
0.4369
|
0.5393
|
0.3838
|
0.4664
|
0.5063
|
0.4722
|
0.501
|
0.518
|
0.4851
|
0.278
|
0.4239
|
0.2455
|
0.3034
|
0.5091
|
0.2161
|
67,526.0087
|
0
|
0
|
2016-03-05 16:55:33 |
1.2.2 |
FOX |
AIDA/CoNLL-Training |
|
0.4661
|
0.5549
|
0.4018
|
0.453
|
0.5301
|
0.4086
|
0.4598
|
0.5053
|
0.4601
|
0.506
|
0.5531
|
0.4664
|
0.3283
|
0.4886
|
0.2917
|
0.364
|
0.5613
|
0.2694
|
91,076.3323
|
0
|
1
|
2016-03-06 18:19:38 |
1.2.2 |
FOX |
AIDA/CoNLL-Training |
Entity Recognition |
0.8355
|
0.9947
|
0.7203
|
0.8243
|
0.9888
|
0.7409
|
0.4598
|
0.5053
|
0.4601
|
0.506
|
0.5531
|
0.4664
|
0.3283
|
0.4886
|
0.2917
|
0.364
|
0.5613
|
0.2694
|
91,076.3323
|
0
|
0
|
2016-03-06 18:19:38 |
1.2.2 |
FOX |
AIDA/CoNLL-Training |
D2KB |
0.4597
|
0.5612
|
0.3893
|
0.4451
|
0.5289
|
0.3984
|
0.4598
|
0.5053
|
0.4601
|
0.506
|
0.5531
|
0.4664
|
0.3283
|
0.4886
|
0.2917
|
0.364
|
0.5613
|
0.2694
|
91,076.3323
|
0
|
0
|
2016-03-06 18:19:38 |
1.2.2 |
FOX |
AQUAINT |
|
0.0426
|
0.0413
|
0.044
|
0.0463
|
0.0454
|
0.0532
|
0.0539
|
0.0519
|
0.0626
|
0.0477
|
0.0485
|
0.0469
|
0.04
|
0.04
|
0.04
|
0
|
0
|
0
|
143,996.2
|
0
|
0
|
2016-03-05 23:41:49 |
1.2.2 |
FOX |
AQUAINT |
Entity Recognition |
0.2397
|
0.2323
|
0.2476
|
0.2326
|
0.2368
|
0.254
|
0.0539
|
0.0519
|
0.0626
|
0.0477
|
0.0485
|
0.0469
|
0.04
|
0.04
|
0.04
|
0
|
0
|
0
|
143,996.2
|
0
|
0
|
2016-03-05 23:41:49 |
1.2.2 |
FOX |
AQUAINT |
D2KB |
0
|
0
|
0
|
0
|
0
|
0
|
0.0539
|
0.0519
|
0.0626
|
0.0477
|
0.0485
|
0.0469
|
0.04
|
0.04
|
0.04
|
0
|
0
|
0
|
143,996.2
|
0
|
0
|
2016-03-05 23:41:49 |
1.2.2 |
FOX |
DBpediaSpotlight |
|
0.1466
|
0.5385
|
0.0848
|
0.1158
|
0.2644
|
0.0829
|
0.1162
|
0.2672
|
0.0829
|
0.1485
|
0.5957
|
0.0848
|
0.9138
|
0.9138
|
0.9138
|
0
|
0
|
0
|
117,106.6842
|
0
|
1
|
2016-03-05 23:58:33 |
1.2.2 |
FOX |
DBpediaSpotlight |
Entity Recognition |
0.2356
|
0.8654
|
0.1364
|
0.1884
|
0.4167
|
0.1342
|
0.1162
|
0.2672
|
0.0829
|
0.1485
|
0.5957
|
0.0848
|
0.9138
|
0.9138
|
0.9138
|
0
|
0
|
0
|
117,106.6842
|
0
|
0
|
2016-03-05 23:58:33 |
1.2.2 |
FOX |
DBpediaSpotlight |
D2KB |
0.1475
|
0.75
|
0.0818
|
0.1166
|
0.2925
|
0.0814
|
0.1162
|
0.2672
|
0.0829
|
0.1485
|
0.5957
|
0.0848
|
0.9138
|
0.9138
|
0.9138
|
0
|
0
|
0
|
117,106.6842
|
0
|
0
|
2016-03-05 23:58:33 |
1.2.2 |
FOX |
IITB |
|
0.076
|
0.3951
|
0.0421
|
0.0987
|
0.3064
|
0.0624
|
0.1291
|
0.3106
|
0.0907
|
0.101
|
0.3991
|
0.0578
|
0.0363
|
0.2839
|
0.0209
|
0.0345
|
0.3764
|
0.0181
|
157,843.8846
|
0
|
0
|
2016-03-07 00:22:22 |
1.2.2 |
FOX |
IITB |
Entity Recognition |
0.1484
|
0.7712
|
0.0821
|
0.1826
|
0.5956
|
0.1142
|
0.1291
|
0.3106
|
0.0907
|
0.101
|
0.3991
|
0.0578
|
0.0363
|
0.2839
|
0.0209
|
0.0345
|
0.3764
|
0.0181
|
157,843.8846
|
0
|
0
|
2016-03-07 00:22:22 |
1.2.2 |
FOX |
IITB |
D2KB |
0.0102
|
0.5
|
0.0051
|
0.0146
|
0.1227
|
0.0087
|
0.1291
|
0.3106
|
0.0907
|
0.101
|
0.3991
|
0.0578
|
0.0363
|
0.2839
|
0.0209
|
0.0345
|
0.3764
|
0.0181
|
157,843.8846
|
0
|
0
|
2016-03-07 00:22:22 |
1.2.2 |
FOX |
KORE50 |
|
0.2868
|
0.3246
|
0.2569
|
0.2519
|
0.297
|
0.2273
|
0.2519
|
0.297
|
0.2273
|
0.2925
|
0.3394
|
0.2569
|
0.92
|
0.92
|
0.92
|
0
|
0
|
0
|
100,991.78
|
0
|
0
|
2016-03-06 04:41:28 |
1.2.2 |
FOX |
KORE50 |
Entity Recognition |
0.8372
|
0.9474
|
0.75
|
0.809
|
0.95
|
0.7503
|
0.2519
|
0.297
|
0.2273
|
0.2925
|
0.3394
|
0.2569
|
0.92
|
0.92
|
0.92
|
0
|
0
|
0
|
100,991.78
|
0
|
0
|
2016-03-06 04:41:28 |
1.2.2 |
FOX |
KORE50 |
D2KB |
0.2915
|
0.3495
|
0.25
|
0.2471
|
0.297
|
0.2207
|
0.2519
|
0.297
|
0.2273
|
0.2925
|
0.3394
|
0.2569
|
0.92
|
0.92
|
0.92
|
0
|
0
|
0
|
100,991.78
|
0
|
0
|
2016-03-06 04:41:28 |
1.2.2 |
FOX |
Microposts2014-Test |
|
0.2249
|
0.4519
|
0.1497
|
0.4916
|
0.5184
|
0.4816
|
0.4986
|
0.5283
|
0.4877
|
0.2322
|
0.5027
|
0.151
|
0.9602
|
0.9602
|
0.9602
|
0
|
0
|
0
|
94,410.5417
|
0
|
23
|
2016-03-07 20:19:59 |
1.2.2 |
FOX |
Microposts2014-Test |
Entity Recognition |
0.3995
|
0.8029
|
0.2659
|
0.5588
|
0.6053
|
0.5429
|
0.4986
|
0.5283
|
0.4877
|
0.2322
|
0.5027
|
0.151
|
0.9602
|
0.9602
|
0.9602
|
0
|
0
|
0
|
94,410.5417
|
0
|
0
|
2016-03-07 20:19:59 |
1.2.2 |
FOX |
Microposts2014-Test |
D2KB |
0.2293
|
0.6308
|
0.1401
|
0.4973
|
0.5288
|
0.4849
|
0.4986
|
0.5283
|
0.4877
|
0.2322
|
0.5027
|
0.151
|
0.9602
|
0.9602
|
0.9602
|
0
|
0
|
0
|
94,410.5417
|
0
|
0
|
2016-03-07 20:19:59 |
1.2.2 |
FOX |
Microposts2014-Train |
|
0.3187
|
0.5282
|
0.2282
|
0.4806
|
0.5398
|
0.4582
|
0.488
|
0.5537
|
0.4638
|
0.3312
|
0.5941
|
0.2296
|
0.9192
|
0.9192
|
0.9192
|
0.0093
|
0.0054
|
0.0345
|
52,967.2714
|
0
|
19
|
2016-03-08 15:36:48 |
1.2.2 |
FOX |
Microposts2014-Train |
Entity Recognition |
0.5343
|
0.8855
|
0.3825
|
0.5854
|
0.6764
|
0.5521
|
0.488
|
0.5537
|
0.4638
|
0.3312
|
0.5941
|
0.2296
|
0.9192
|
0.9192
|
0.9192
|
0.0093
|
0.0054
|
0.0345
|
52,967.2714
|
0
|
0
|
2016-03-08 15:36:48 |
1.2.2 |
FOX |
Microposts2014-Train |
D2KB |
0.3186
|
0.6697
|
0.2091
|
0.4842
|
0.5539
|
0.4573
|
0.488
|
0.5537
|
0.4638
|
0.3312
|
0.5941
|
0.2296
|
0.9192
|
0.9192
|
0.9192
|
0.0093
|
0.0054
|
0.0345
|
52,967.2714
|
0
|
0
|
2016-03-08 15:36:48 |
1.2.2 |
FOX |
MSNBC |
|
0.1226
|
0.1772
|
0.0937
|
0.1322
|
0.1435
|
0.1249
|
0.129
|
0.1433
|
0.1198
|
0.1227
|
0.181
|
0.0928
|
0.1927
|
0.2164
|
0.1875
|
0.1222
|
0.1594
|
0.0991
|
168,563.9
|
0
|
0
|
2016-03-06 09:13:55 |
1.2.2 |
FOX |
MSNBC |
Entity Recognition |
0.2767
|
0.4
|
0.2115
|
0.2909
|
0.3321
|
0.2685
|
0.129
|
0.1433
|
0.1198
|
0.1227
|
0.181
|
0.0928
|
0.1927
|
0.2164
|
0.1875
|
0.1222
|
0.1594
|
0.0991
|
168,563.9
|
0
|
0
|
2016-03-06 09:13:55 |
1.2.2 |
FOX |
MSNBC |
D2KB |
0.0158
|
0.4286
|
0.008
|
0.0202
|
0.25
|
0.0106
|
0.129
|
0.1433
|
0.1198
|
0.1227
|
0.181
|
0.0928
|
0.1927
|
0.2164
|
0.1875
|
0.1222
|
0.1594
|
0.0991
|
168,563.9
|
0
|
0
|
2016-03-06 09:13:55 |
1.2.2 |
FOX |
N3-Reuters-128 |
|
0.5167
|
0.4974
|
0.5375
|
0.5768
|
0.5657
|
0.6059
|
0.5488
|
0.5529
|
0.5735
|
0.5043
|
0.4837
|
0.5267
|
0.5417
|
0.5748
|
0.5669
|
0.5465
|
0.5307
|
0.5632
|
1,771.3071
|
0
|
1
|
2016-03-10 17:55:29 |
1.2.2 |
FOX |
N3-Reuters-128 |
Entity Recognition |
0.8848
|
0.8517
|
0.9205
|
0.8822
|
0.864
|
0.9282
|
0.5488
|
0.5529
|
0.5735
|
0.5043
|
0.4837
|
0.5267
|
0.5417
|
0.5748
|
0.5669
|
0.5465
|
0.5307
|
0.5632
|
1,771.3071
|
0
|
0
|
2016-03-10 17:55:29 |
1.2.2 |
FOX |
N3-Reuters-128 |
D2KB |
0.5399
|
0.6103
|
0.4841
|
0.5868
|
0.6526
|
0.5514
|
0.5488
|
0.5529
|
0.5735
|
0.5043
|
0.4837
|
0.5267
|
0.5417
|
0.5748
|
0.5669
|
0.5465
|
0.5307
|
0.5632
|
1,771.3071
|
0
|
0
|
2016-03-10 17:55:29 |
1.2.2 |
FOX |
N3-RSS-500 |
|
0.4325
|
0.3484
|
0.57
|
0.4598
|
0.4153
|
0.57
|
0.3596
|
0.319
|
0.47
|
0.3456
|
0.2459
|
0.5814
|
0.6231
|
0.645
|
0.628
|
0.6
|
0.649
|
0.5579
|
1,390.672
|
0
|
0
|
2016-03-10 17:58:11 |
1.2.2 |
FOX |
N3-RSS-500 |
Entity Recognition |
0.695
|
0.5599
|
0.916
|
0.7406
|
0.6734
|
0.916
|
0.3596
|
0.319
|
0.47
|
0.3456
|
0.2459
|
0.5814
|
0.6231
|
0.645
|
0.628
|
0.6
|
0.649
|
0.5579
|
1,390.672
|
0
|
0
|
2016-03-10 17:58:11 |
1.2.2 |
FOX |
N3-RSS-500 |
D2KB |
0.567
|
0.6293
|
0.516
|
0.5457
|
0.605
|
0.516
|
0.3596
|
0.319
|
0.47
|
0.3456
|
0.2459
|
0.5814
|
0.6231
|
0.645
|
0.628
|
0.6
|
0.649
|
0.5579
|
1,390.672
|
0
|
0
|
2016-03-10 17:58:11 |
1.2.2 |
FOX |
OKE 2015 Task 1 evaluation dataset |
|
0.526
|
0.6869
|
0.4262
|
0.5037
|
0.6573
|
0.4233
|
0.5358
|
0.6534
|
0.4825
|
0.5741
|
0.6927
|
0.4901
|
0.4561
|
0.5083
|
0.4454
|
0.3302
|
0.6481
|
0.2215
|
1,063.3131
|
0
|
2
|
2016-03-10 13:10:47 |
1.2.2 |
FOX |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.7361
|
0.9612
|
0.5964
|
0.7137
|
0.9464
|
0.5978
|
0.5358
|
0.6534
|
0.4825
|
0.5741
|
0.6927
|
0.4901
|
0.4561
|
0.5083
|
0.4454
|
0.3302
|
0.6481
|
0.2215
|
1,063.3131
|
0
|
0
|
2016-03-10 13:10:47 |
1.2.2 |
FOX |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5354
|
0.752
|
0.4157
|
0.5064
|
0.7101
|
0.4125
|
0.5358
|
0.6534
|
0.4825
|
0.5741
|
0.6927
|
0.4901
|
0.4561
|
0.5083
|
0.4454
|
0.3302
|
0.6481
|
0.2215
|
1,063.3131
|
0
|
0
|
2016-03-10 13:10:47 |
1.2.2 |
FOX |
OKE 2015 Task 1 gold standard sample |
|
0.4528
|
0.5773
|
0.3724
|
0.4054
|
0.4794
|
0.384
|
0.4482
|
0.5104
|
0.4312
|
0.4764
|
0.5874
|
0.4007
|
0.6877
|
0.6947
|
0.6842
|
0.2264
|
0.4286
|
0.1538
|
186,060.1169
|
0
|
18
|
2016-03-07 11:01:26 |
1.2.2 |
FOX |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.6738
|
0.8591
|
0.5543
|
0.5777
|
0.677
|
0.5491
|
0.4482
|
0.5104
|
0.4312
|
0.4764
|
0.5874
|
0.4007
|
0.6877
|
0.6947
|
0.6842
|
0.2264
|
0.4286
|
0.1538
|
186,060.1169
|
0
|
0
|
2016-03-07 11:01:26 |
1.2.2 |
FOX |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.4744
|
0.7838
|
0.3402
|
0.4096
|
0.5705
|
0.3475
|
0.4482
|
0.5104
|
0.4312
|
0.4764
|
0.5874
|
0.4007
|
0.6877
|
0.6947
|
0.6842
|
0.2264
|
0.4286
|
0.1538
|
186,060.1169
|
0
|
0
|
2016-03-07 11:01:26 |
1.2.2 |
FOX |
Bengal Star 100 (uploaded) |
|
0.4826
|
0.4754
|
0.4899
|
0.4892
|
0.5196
|
0.5106
|
0.4996
|
0.5427
|
0.5106
|
0.5063
|
0.5238
|
0.4899
|
0.84
|
0.84
|
0.84
|
0
|
0
|
0
|
2,149.618
|
0
|
11
|
2016-03-09 16:33:19 |
1.2.2 |
FOX |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.7298
|
0.7191
|
0.7409
|
0.6842
|
0.7085
|
0.7463
|
0.4996
|
0.5427
|
0.5106
|
0.5063
|
0.5238
|
0.4899
|
0.84
|
0.84
|
0.84
|
0
|
0
|
0
|
2,149.618
|
0
|
0
|
2016-03-09 16:33:19 |
1.2.2 |
FOX |
Bengal Star 100 (uploaded) |
D2KB |
0.5297
|
0.9289
|
0.3704
|
0.4613
|
0.6343
|
0.4021
|
0.4996
|
0.5427
|
0.5106
|
0.5063
|
0.5238
|
0.4899
|
0.84
|
0.84
|
0.84
|
0
|
0
|
0
|
2,149.618
|
0
|
0
|
2016-03-09 16:33:19 |
1.2.2 |
FOX |
Bengal Star Para 100 (uploaded) |
|
0.4836
|
0.4755
|
0.4919
|
0.477
|
0.5037
|
0.4961
|
0.4876
|
0.5325
|
0.4961
|
0.5047
|
0.5181
|
0.4919
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
1,348.0326
|
0
|
8
|
2016-03-09 16:57:11 |
1.2.2 |
FOX |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7303
|
0.7182
|
0.7429
|
0.6915
|
0.7166
|
0.7463
|
0.4876
|
0.5325
|
0.4961
|
0.5047
|
0.5181
|
0.4919
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
1,348.0326
|
0
|
0
|
2016-03-09 16:57:11 |
1.2.2 |
FOX |
Bengal Star Para 100 (uploaded) |
D2KB |
0.5248
|
0.9375
|
0.3644
|
0.4451
|
0.6277
|
0.3841
|
0.4876
|
0.5325
|
0.4961
|
0.5047
|
0.5181
|
0.4919
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
1,348.0326
|
0
|
0
|
2016-03-09 16:57:11 |
1.2.2 |
FOX |
Bengal Sym 100 (uploaded) |
|
0.3952
|
0.3898
|
0.4007
|
0.411
|
0.4523
|
0.4148
|
0.4201
|
0.4698
|
0.4148
|
0.4115
|
0.4229
|
0.4007
|
0.81
|
0.81
|
0.81
|
0
|
0
|
0
|
2,341.7609
|
0
|
8
|
2016-03-17 16:51:01 |
1.2.2 |
FOX |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7018
|
0.6922
|
0.7116
|
0.6601
|
0.7018
|
0.7113
|
0.4201
|
0.4698
|
0.4148
|
0.4115
|
0.4229
|
0.4007
|
0.81
|
0.81
|
0.81
|
0
|
0
|
0
|
2,341.7609
|
0
|
0
|
2016-03-17 16:51:01 |
1.2.2 |
FOX |
Bengal Sym 100 (uploaded) |
D2KB |
0.4959
|
0.9235
|
0.339
|
0.4122
|
0.625
|
0.3455
|
0.4201
|
0.4698
|
0.4148
|
0.4115
|
0.4229
|
0.4007
|
0.81
|
0.81
|
0.81
|
0
|
0
|
0
|
2,341.7609
|
0
|
0
|
2016-03-17 16:51:01 |
1.2.2 |
FOX |
Bengal Sym Para 100 (uploaded) |
|
0.3778
|
0.3792
|
0.3764
|
0.3821
|
0.4187
|
0.3842
|
0.3923
|
0.4446
|
0.3842
|
0.3957
|
0.417
|
0.3764
|
0.77
|
0.77
|
0.77
|
0
|
0
|
0
|
910.2198
|
0
|
9
|
2016-03-17 16:52:36 |
1.2.2 |
FOX |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.6955
|
0.6981
|
0.6929
|
0.6533
|
0.7118
|
0.6977
|
0.3923
|
0.4446
|
0.3842
|
0.3957
|
0.417
|
0.3764
|
0.77
|
0.77
|
0.77
|
0
|
0
|
0
|
910.2198
|
0
|
0
|
2016-03-17 16:52:36 |
1.2.2 |
FOX |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.4686
|
0.918
|
0.3146
|
0.3778
|
0.5767
|
0.3159
|
0.3923
|
0.4446
|
0.3842
|
0.3957
|
0.417
|
0.3764
|
0.77
|
0.77
|
0.77
|
0
|
0
|
0
|
910.2198
|
0
|
0
|
2016-03-17 16:52:36 |
1.2.2 |
FOX |
Bengal Path 100 (uploaded) |
|
0.4674
|
0.5092
|
0.4319
|
0.4205
|
0.4625
|
0.4168
|
0.4314
|
0.4989
|
0.4168
|
0.4821
|
0.5455
|
0.4319
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
1,122.6782
|
0
|
13
|
2016-03-09 16:44:54 |
1.2.2 |
FOX |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.72
|
0.7844
|
0.6654
|
0.65
|
0.7
|
0.6573
|
0.4314
|
0.4989
|
0.4168
|
0.4821
|
0.5455
|
0.4319
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
1,122.6782
|
0
|
0
|
2016-03-09 16:44:54 |
1.2.2 |
FOX |
Bengal Path 100 (uploaded) |
D2KB |
0.5172
|
0.8826
|
0.3658
|
0.4438
|
0.6343
|
0.3682
|
0.4314
|
0.4989
|
0.4168
|
0.4821
|
0.5455
|
0.4319
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
1,122.6782
|
0
|
0
|
2016-03-09 16:44:54 |
1.2.2 |
FOX |
Bengal Path Para 100 (uploaded) |
|
0.473
|
0.5067
|
0.4436
|
0.4293
|
0.4635
|
0.4287
|
0.4384
|
0.4902
|
0.4287
|
0.4872
|
0.5403
|
0.4436
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
903.8989
|
0
|
11
|
2016-03-09 16:55:34 |
1.2.2 |
FOX |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7261
|
0.7778
|
0.6809
|
0.6585
|
0.7094
|
0.6681
|
0.4384
|
0.4902
|
0.4287
|
0.4872
|
0.5403
|
0.4436
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
903.8989
|
0
|
0
|
2016-03-09 16:55:34 |
1.2.2 |
FOX |
Bengal Path Para 100 (uploaded) |
D2KB |
0.5192
|
0.8832
|
0.3677
|
0.4468
|
0.6252
|
0.3718
|
0.4384
|
0.4902
|
0.4287
|
0.4872
|
0.5403
|
0.4436
|
0.83
|
0.83
|
0.83
|
0
|
0
|
0
|
903.8989
|
0
|
0
|
2016-03-09 16:55:34 |
1.2.2 |
FOX |
Bengal Hybrid 100 (uploaded) |
|
0.481
|
0.479
|
0.4831
|
0.4824
|
0.5086
|
0.4989
|
0.4955
|
0.5397
|
0.4989
|
0.5
|
0.5182
|
0.4831
|
0.78
|
0.78
|
0.78
|
0
|
0
|
0
|
902.3438
|
0
|
4
|
2016-03-11 14:03:41 |
1.2.2 |
FOX |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.7679
|
0.7647
|
0.7712
|
0.7489
|
0.7831
|
0.7927
|
0.4955
|
0.5397
|
0.4989
|
0.5
|
0.5182
|
0.4831
|
0.78
|
0.78
|
0.78
|
0
|
0
|
0
|
902.3438
|
0
|
0
|
2016-03-11 14:03:41 |
1.2.2 |
FOX |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.5539
|
0.8879
|
0.4025
|
0.4806
|
0.6746
|
0.408
|
0.4955
|
0.5397
|
0.4989
|
0.5
|
0.5182
|
0.4831
|
0.78
|
0.78
|
0.78
|
0
|
0
|
0
|
902.3438
|
0
|
0
|
2016-03-11 14:03:41 |
1.2.2 |
FOX |
Bengal Hybrid Para 100 (uploaded) |
|
0.4804
|
0.4679
|
0.4936
|
0.4695
|
0.4804
|
0.4908
|
0.4838
|
0.517
|
0.4908
|
0.5
|
0.5065
|
0.4936
|
0.77
|
0.77
|
0.77
|
0
|
0
|
0
|
1,877.0707
|
0
|
1
|
2016-03-11 14:03:52 |
1.2.2 |
FOX |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.7794
|
0.759
|
0.8008
|
0.759
|
0.78
|
0.8068
|
0.4838
|
0.517
|
0.4908
|
0.5
|
0.5065
|
0.4936
|
0.77
|
0.77
|
0.77
|
0
|
0
|
0
|
1,877.0707
|
0
|
0
|
2016-03-11 14:03:52 |
1.2.2 |
FOX |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.5581
|
0.8889
|
0.4068
|
0.4696
|
0.6646
|
0.3933
|
0.4838
|
0.517
|
0.4908
|
0.5
|
0.5065
|
0.4936
|
0.77
|
0.77
|
0.77
|
0
|
0
|
0
|
1,877.0707
|
0
|
0
|
2016-03-11 14:03:52 |
1.2.2 |
FOX |
Bengal Summary 100 (uploaded) |
|
0.473
|
0.473
|
0.473
|
0.4185
|
0.4717
|
0.411
|
0.4239
|
0.4934
|
0.411
|
0.4846
|
0.4967
|
0.473
|
0.89
|
0.89
|
0.89
|
0
|
0
|
0
|
2,226.0408
|
0
|
2
|
2016-03-17 16:44:11 |
1.2.2 |
FOX |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7619
|
0.7619
|
0.7619
|
0.6997
|
0.7375
|
0.7286
|
0.4239
|
0.4934
|
0.411
|
0.4846
|
0.4967
|
0.473
|
0.89
|
0.89
|
0.89
|
0
|
0
|
0
|
2,226.0408
|
0
|
0
|
2016-03-17 16:44:11 |
1.2.2 |
FOX |
Bengal Summary 100 (uploaded) |
D2KB |
0.5826
|
0.9241
|
0.4254
|
0.4381
|
0.6174
|
0.368
|
0.4239
|
0.4934
|
0.411
|
0.4846
|
0.4967
|
0.473
|
0.89
|
0.89
|
0.89
|
0
|
0
|
0
|
2,226.0408
|
0
|
0
|
2016-03-17 16:44:11 |
1.2.2 |
FOX |
Bengal Summary Para 100 (uploaded) |
|
0.4284
|
0.4212
|
0.4357
|
0.399
|
0.4704
|
0.3855
|
0.4047
|
0.4925
|
0.3855
|
0.4406
|
0.4455
|
0.4357
|
0.88
|
0.88
|
0.88
|
0
|
0
|
0
|
2,008.4747
|
0
|
1
|
2016-03-17 16:43:52 |
1.2.2 |
FOX |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7458
|
0.7333
|
0.7586
|
0.688
|
0.7413
|
0.7141
|
0.4047
|
0.4925
|
0.3855
|
0.4406
|
0.4455
|
0.4357
|
0.88
|
0.88
|
0.88
|
0
|
0
|
0
|
2,008.4747
|
0
|
0
|
2016-03-17 16:43:52 |
1.2.2 |
FOX |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.541
|
0.9242
|
0.3824
|
0.4208
|
0.6172
|
0.3428
|
0.4047
|
0.4925
|
0.3855
|
0.4406
|
0.4455
|
0.4357
|
0.88
|
0.88
|
0.88
|
0
|
0
|
0
|
2,008.4747
|
0
|
0
|
2016-03-17 16:43:52 |
1.2.2 |
FREME NER |
ACE2004 |
|
0.1848
|
0.1113
|
0.5425
|
0.1641
|
0.1215
|
0.3174
|
0.1723
|
0.1215
|
0.3779
|
0.1907
|
0.1113
|
0.664
|
0
|
0
|
0
|
0
|
0
|
0
|
503.4035
|
0.6268
|
0
|
2016-03-04 21:53:54 |
1.2.2 |
FREME NER |
ACE2004 |
Entity Recognition |
0.2353
|
0.1402
|
0.732
|
0.2208
|
0.1607
|
0.4402
|
0.1723
|
0.1215
|
0.3779
|
0.1907
|
0.1113
|
0.664
|
0
|
0
|
0
|
0
|
0
|
0
|
503.4035
|
0.6268
|
0
|
2016-03-04 21:53:54 |
1.2.2 |
FREME NER |
ACE2004 |
D2KB |
0.65
|
0.7897
|
0.5523
|
0.7616
|
0.8551
|
0.7059
|
0.1723
|
0.1215
|
0.3779
|
0.1907
|
0.1113
|
0.664
|
0
|
0
|
0
|
0
|
0
|
0
|
503.4035
|
0.6268
|
0
|
2016-03-04 21:53:54 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Complete |
|
0.484
|
0.5675
|
0.4219
|
0.4498
|
0.5247
|
0.4136
|
0.5475
|
0.5254
|
0.6298
|
0.5954
|
0.5675
|
0.6261
|
0
|
0
|
0
|
0
|
0
|
0
|
198.4135
|
0.3627
|
0
|
2016-03-05 17:57:18 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Complete |
Entity Recognition |
0.8136
|
0.9429
|
0.7155
|
0.7808
|
0.9031
|
0.7197
|
0.5475
|
0.5254
|
0.6298
|
0.5954
|
0.5675
|
0.6261
|
0
|
0
|
0
|
0
|
0
|
0
|
198.4135
|
0.3627
|
0
|
2016-03-05 17:57:18 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Complete |
D2KB |
0.502
|
0.6215
|
0.421
|
0.4709
|
0.6065
|
0.4128
|
0.5475
|
0.5254
|
0.6298
|
0.5954
|
0.5675
|
0.6261
|
0
|
0
|
0
|
0
|
0
|
0
|
198.4135
|
0.3627
|
0
|
2016-03-05 17:57:18 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Test A |
|
0.499
|
0.5765
|
0.4399
|
0.4561
|
0.5213
|
0.4215
|
0.5461
|
0.5213
|
0.617
|
0.6022
|
0.5765
|
0.6303
|
0
|
0
|
0
|
0
|
0
|
0
|
253.2037
|
0.3701
|
0
|
2016-03-05 06:31:16 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Test A |
Entity Recognition |
0.8343
|
0.9527
|
0.7421
|
0.8029
|
0.9136
|
0.7449
|
0.5461
|
0.5213
|
0.617
|
0.6022
|
0.5765
|
0.6303
|
0
|
0
|
0
|
0
|
0
|
0
|
253.2037
|
0.3701
|
0
|
2016-03-05 06:31:16 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Test A |
D2KB |
0.5166
|
0.628
|
0.4387
|
0.4782
|
0.6063
|
0.4213
|
0.5461
|
0.5213
|
0.617
|
0.6022
|
0.5765
|
0.6303
|
0
|
0
|
0
|
0
|
0
|
0
|
253.2037
|
0.3701
|
0
|
2016-03-05 06:31:16 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Test B |
|
0.4458
|
0.5279
|
0.3859
|
0.4332
|
0.5013
|
0.4012
|
0.5305
|
0.5057
|
0.6109
|
0.5566
|
0.5279
|
0.5885
|
0
|
0
|
0
|
0
|
0
|
0
|
185.2121
|
0.3623
|
0
|
2016-03-05 13:35:56 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Test B |
Entity Recognition |
0.8026
|
0.9376
|
0.7016
|
0.7759
|
0.895
|
0.7199
|
0.5305
|
0.5057
|
0.6109
|
0.5566
|
0.5279
|
0.5885
|
0
|
0
|
0
|
0
|
0
|
0
|
185.2121
|
0.3623
|
0
|
2016-03-05 13:35:56 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Test B |
D2KB |
0.4623
|
0.5792
|
0.3846
|
0.4574
|
0.5935
|
0.3982
|
0.5305
|
0.5057
|
0.6109
|
0.5566
|
0.5279
|
0.5885
|
0
|
0
|
0
|
0
|
0
|
0
|
185.2121
|
0.3623
|
0
|
2016-03-05 13:35:56 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Training |
|
0.4895
|
0.5752
|
0.4259
|
0.4522
|
0.5312
|
0.4145
|
0.5518
|
0.5312
|
0.6371
|
0.603
|
0.5752
|
0.6337
|
0
|
0
|
0
|
0
|
0
|
0
|
195.2643
|
0.364
|
0
|
2016-03-05 18:06:38 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Training |
Entity Recognition |
0.8113
|
0.9424
|
0.7122
|
0.7772
|
0.9033
|
0.7144
|
0.5518
|
0.5312
|
0.6371
|
0.603
|
0.5752
|
0.6337
|
0
|
0
|
0
|
0
|
0
|
0
|
195.2643
|
0.364
|
0
|
2016-03-05 18:06:38 |
1.2.2 |
FREME NER |
AIDA/CoNLL-Training |
D2KB |
0.5081
|
0.6313
|
0.4252
|
0.4729
|
0.6116
|
0.4145
|
0.5518
|
0.5312
|
0.6371
|
0.603
|
0.5752
|
0.6337
|
0
|
0
|
0
|
0
|
0
|
0
|
195.2643
|
0.364
|
0
|
2016-03-05 18:06:38 |
1.2.2 |
FREME NER |
AQUAINT |
|
0.3706
|
0.341
|
0.4058
|
0.3398
|
0.3443
|
0.3931
|
0.3508
|
0.3443
|
0.4154
|
0.3811
|
0.341
|
0.4319
|
0
|
0
|
0
|
0
|
0
|
0
|
187.88
|
0.4109
|
0
|
2016-03-05 21:47:07 |
1.2.2 |
FREME NER |
AQUAINT |
Entity Recognition |
0.4575
|
0.4192
|
0.5034
|
0.4223
|
0.4255
|
0.486
|
0.3508
|
0.3443
|
0.4154
|
0.3811
|
0.341
|
0.4319
|
0
|
0
|
0
|
0
|
0
|
0
|
187.88
|
0.4109
|
0
|
2016-03-05 21:47:07 |
1.2.2 |
FREME NER |
AQUAINT |
D2KB |
0.5367
|
0.8997
|
0.3824
|
0.5012
|
0.9057
|
0.3716
|
0.3508
|
0.3443
|
0.4154
|
0.3811
|
0.341
|
0.4319
|
0
|
0
|
0
|
0
|
0
|
0
|
187.88
|
0.4109
|
0
|
2016-03-05 21:47:07 |
1.2.2 |
FREME NER |
DBpediaSpotlight |
|
0.2361
|
0.5765
|
0.1485
|
0.1848
|
0.3652
|
0.138
|
0.1848
|
0.3652
|
0.138
|
0.2361
|
0.5765
|
0.1485
|
|
|
|
|
|
|
40.069
|
0.4497
|
0
|
2016-03-05 22:05:35 |
1.2.2 |
FREME NER |
DBpediaSpotlight |
Entity Recognition |
0.3437
|
0.809
|
0.2182
|
0.2762
|
0.5233
|
0.2103
|
0.1848
|
0.3652
|
0.138
|
0.2361
|
0.5765
|
0.1485
|
|
|
|
|
|
|
40.069
|
0.4497
|
0
|
2016-03-05 22:05:35 |
1.2.2 |
FREME NER |
DBpediaSpotlight |
D2KB |
0.2362
|
0.8824
|
0.1364
|
0.184
|
0.4353
|
0.1302
|
0.1848
|
0.3652
|
0.138
|
0.2361
|
0.5765
|
0.1485
|
|
|
|
|
|
|
40.069
|
0.4497
|
0
|
2016-03-05 22:05:35 |
1.2.2 |
FREME NER |
IITB |
|
0.1465
|
0.4804
|
0.0864
|
0.1611
|
0.4802
|
0.1031
|
0.2356
|
0.4802
|
0.1735
|
0.2206
|
0.4804
|
0.1432
|
0
|
0
|
0
|
0
|
0
|
0
|
480.0192
|
0
|
0
|
2016-03-06 20:42:35 |
1.2.2 |
FREME NER |
IITB |
Entity Recognition |
0.2566
|
0.8415
|
0.1514
|
0.2744
|
0.8377
|
0.1744
|
0.2356
|
0.4802
|
0.1735
|
0.2206
|
0.4804
|
0.1432
|
0
|
0
|
0
|
0
|
0
|
0
|
480.0192
|
0
|
0
|
2016-03-06 20:42:35 |
1.2.2 |
FREME NER |
IITB |
D2KB |
0.138
|
0.669
|
0.077
|
0.1533
|
0.6347
|
0.0929
|
0.2356
|
0.4802
|
0.1735
|
0.2206
|
0.4804
|
0.1432
|
0
|
0
|
0
|
0
|
0
|
0
|
480.0192
|
0
|
0
|
2016-03-06 20:42:35 |
1.2.2 |
FREME NER |
KORE50 |
|
0.3165
|
0.3284
|
0.3056
|
0.3126
|
0.3547
|
0.2933
|
0.3126
|
0.3547
|
0.2933
|
0.3165
|
0.3284
|
0.3056
|
|
|
|
|
|
|
61.62
|
0.491
|
0
|
2016-03-06 04:49:00 |
1.2.2 |
FREME NER |
KORE50 |
Entity Recognition |
0.9556
|
0.9396
|
0.9722
|
0.9573
|
0.9583
|
0.9767
|
0.3126
|
0.3547
|
0.2933
|
0.3165
|
0.3284
|
0.3056
|
|
|
|
|
|
|
61.62
|
0.491
|
0
|
2016-03-06 04:49:00 |
1.2.2 |
FREME NER |
KORE50 |
D2KB |
0.313
|
0.3475
|
0.2847
|
0.2929
|
0.3397
|
0.27
|
0.3126
|
0.3547
|
0.2933
|
0.3165
|
0.3284
|
0.3056
|
|
|
|
|
|
|
61.62
|
0.491
|
0
|
2016-03-06 04:49:00 |
1.2.2 |
FREME NER |
Microposts2014-Test |
|
0.3132
|
0.3985
|
0.258
|
0.5154
|
0.5458
|
0.5064
|
0.5194
|
0.5496
|
0.5107
|
0.3149
|
0.3985
|
0.2602
|
0
|
0
|
0
|
0
|
0
|
0
|
34.8919
|
0.3279
|
0
|
2016-03-06 15:38:21 |
1.2.2 |
FREME NER |
Microposts2014-Test |
Entity Recognition |
0.4448
|
0.5681
|
0.3654
|
0.5733
|
0.6162
|
0.5611
|
0.5194
|
0.5496
|
0.5107
|
0.3149
|
0.3985
|
0.2602
|
0
|
0
|
0
|
0
|
0
|
0
|
34.8919
|
0.3279
|
0
|
2016-03-06 15:38:21 |
1.2.2 |
FREME NER |
Microposts2014-Test |
D2KB |
0.3712
|
0.7714
|
0.2444
|
0.5599
|
0.6034
|
0.5422
|
0.5194
|
0.5496
|
0.5107
|
0.3149
|
0.3985
|
0.2602
|
0
|
0
|
0
|
0
|
0
|
0
|
34.8919
|
0.3279
|
0
|
2016-03-06 15:38:21 |
1.2.2 |
FREME NER |
Microposts2014-Train |
|
0.3954
|
0.5355
|
0.3134
|
0.5005
|
0.5533
|
0.4824
|
0.5016
|
0.5533
|
0.4847
|
0.3973
|
0.5355
|
0.3158
|
0
|
0
|
0
|
0
|
0
|
0
|
37.7654
|
0.3351
|
0
|
2016-03-07 04:42:56 |
1.2.2 |
FREME NER |
Microposts2014-Train |
Entity Recognition |
0.573
|
0.776
|
0.4542
|
0.5913
|
0.6643
|
0.5667
|
0.5016
|
0.5533
|
0.4847
|
0.3973
|
0.5355
|
0.3158
|
0
|
0
|
0
|
0
|
0
|
0
|
37.7654
|
0.3351
|
0
|
2016-03-07 04:42:56 |
1.2.2 |
FREME NER |
Microposts2014-Train |
D2KB |
0.4266
|
0.7604
|
0.2964
|
0.5505
|
0.6284
|
0.5189
|
0.5016
|
0.5533
|
0.4847
|
0.3973
|
0.5355
|
0.3158
|
0
|
0
|
0
|
0
|
0
|
0
|
37.7654
|
0.3351
|
0
|
2016-03-07 04:42:56 |
1.2.2 |
FREME NER |
MSNBC |
|
0.5047
|
0.502
|
0.5074
|
0.5248
|
0.5206
|
0.5359
|
0.5709
|
0.5206
|
0.6485
|
0.5449
|
0.502
|
0.5959
|
0
|
0
|
0
|
0
|
0
|
0
|
391.65
|
0.3497
|
0
|
2016-03-06 08:35:43 |
1.2.2 |
FREME NER |
MSNBC |
Entity Recognition |
0.8763
|
0.8705
|
0.8822
|
0.8565
|
0.8493
|
0.8751
|
0.5709
|
0.5206
|
0.6485
|
0.5449
|
0.502
|
0.5959
|
0
|
0
|
0
|
0
|
0
|
0
|
391.65
|
0.3497
|
0
|
2016-03-06 08:35:43 |
1.2.2 |
FREME NER |
MSNBC |
D2KB |
0.5347
|
0.6047
|
0.4793
|
0.5661
|
0.6504
|
0.5037
|
0.5709
|
0.5206
|
0.6485
|
0.5449
|
0.502
|
0.5959
|
0
|
0
|
0
|
0
|
0
|
0
|
391.65
|
0.3497
|
0
|
2016-03-06 08:35:43 |
1.2.2 |
FREME NER |
N3-Reuters-128 |
|
0.3822
|
0.4069
|
0.3602
|
0.357
|
0.3886
|
0.369
|
0.4555
|
0.4433
|
0.5277
|
0.4535
|
0.4069
|
0.5121
|
0
|
0
|
0
|
0
|
0
|
0
|
145.8906
|
0.4859
|
0
|
2016-03-07 04:16:14 |
1.2.2 |
FREME NER |
N3-Reuters-128 |
Entity Recognition |
0.6744
|
0.6867
|
0.6625
|
0.5842
|
0.637
|
0.6065
|
0.4555
|
0.4433
|
0.5277
|
0.4535
|
0.4069
|
0.5121
|
0
|
0
|
0
|
0
|
0
|
0
|
145.8906
|
0.4859
|
0
|
2016-03-07 04:16:14 |
1.2.2 |
FREME NER |
N3-Reuters-128 |
D2KB |
0.4364
|
0.5992
|
0.3432
|
0.4104
|
0.5524
|
0.3504
|
0.4555
|
0.4433
|
0.5277
|
0.4535
|
0.4069
|
0.5121
|
0
|
0
|
0
|
0
|
0
|
0
|
145.8906
|
0.4859
|
0
|
2016-03-07 04:16:14 |
1.2.2 |
FREME NER |
N3-RSS-500 |
|
0.2973
|
0.2601
|
0.347
|
0.2759
|
0.2587
|
0.347
|
0.3674
|
0.3127
|
0.517
|
0.3751
|
0.2601
|
0.6725
|
0
|
0
|
0
|
0
|
0
|
0
|
64.998
|
0.4296
|
0
|
2016-03-07 01:30:50 |
1.2.2 |
FREME NER |
N3-RSS-500 |
Entity Recognition |
0.5399
|
0.4674
|
0.639
|
0.5334
|
0.5192
|
0.639
|
0.3674
|
0.3127
|
0.517
|
0.3751
|
0.2601
|
0.6725
|
0
|
0
|
0
|
0
|
0
|
0
|
64.998
|
0.4296
|
0
|
2016-03-07 01:30:50 |
1.2.2 |
FREME NER |
N3-RSS-500 |
D2KB |
0.3962
|
0.5518
|
0.309
|
0.3427
|
0.41
|
0.309
|
0.3674
|
0.3127
|
0.517
|
0.3751
|
0.2601
|
0.6725
|
0
|
0
|
0
|
0
|
0
|
0
|
64.998
|
0.4296
|
0
|
2016-03-07 01:30:50 |
1.2.2 |
FREME NER |
OKE 2015 Task 1 evaluation dataset |
|
0.5097
|
0.6587
|
0.4157
|
0.5018
|
0.6514
|
0.4288
|
0.5704
|
0.6514
|
0.5432
|
0.5968
|
0.6587
|
0.5455
|
0
|
0
|
0
|
0
|
0
|
0
|
118.099
|
0.3877
|
0
|
2016-03-07 05:18:43 |
1.2.2 |
FREME NER |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.6962
|
0.8998
|
0.5678
|
0.6797
|
0.8883
|
0.583
|
0.5704
|
0.6514
|
0.5432
|
0.5968
|
0.6587
|
0.5455
|
0
|
0
|
0
|
0
|
0
|
0
|
118.099
|
0.3877
|
0
|
2016-03-07 05:18:43 |
1.2.2 |
FREME NER |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5211
|
0.7507
|
0.3991
|
0.5071
|
0.7154
|
0.4137
|
0.5704
|
0.6514
|
0.5432
|
0.5968
|
0.6587
|
0.5455
|
0
|
0
|
0
|
0
|
0
|
0
|
118.099
|
0.3877
|
0
|
2016-03-07 05:18:43 |
1.2.2 |
FREME NER |
OKE 2015 Task 1 gold standard sample |
|
0.6033
|
0.684
|
0.5396
|
0.5951
|
0.6842
|
0.566
|
0.6518
|
0.7052
|
0.6463
|
0.6445
|
0.684
|
0.6093
|
0
|
0
|
0
|
0
|
0
|
0
|
106.0737
|
0.5217
|
0
|
2016-03-07 05:35:55 |
1.2.2 |
FREME NER |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.7391
|
0.8261
|
0.6686
|
0.7094
|
0.8107
|
0.682
|
0.6518
|
0.7052
|
0.6463
|
0.6445
|
0.684
|
0.6093
|
0
|
0
|
0
|
0
|
0
|
0
|
106.0737
|
0.5217
|
0
|
2016-03-07 05:35:55 |
1.2.2 |
FREME NER |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.6292
|
0.8705
|
0.4927
|
0.6009
|
0.8026
|
0.5146
|
0.6518
|
0.7052
|
0.6463
|
0.6445
|
0.684
|
0.6093
|
0
|
0
|
0
|
0
|
0
|
0
|
106.0737
|
0.5217
|
0
|
2016-03-07 05:35:55 |
1.2.2 |
FREME NER |
Bengal Star 100 (uploaded) |
|
0.6487
|
0.582
|
0.7328
|
0.6849
|
0.6785
|
0.7311
|
0.6849
|
0.6785
|
0.7311
|
0.6487
|
0.582
|
0.7328
|
|
|
|
|
|
|
92.56
|
0
|
0
|
2016-03-09 16:50:46 |
1.2.2 |
FREME NER |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.828
|
0.7589
|
0.9109
|
0.8422
|
0.836
|
0.9138
|
0.6849
|
0.6785
|
0.7311
|
0.6487
|
0.582
|
0.7328
|
|
|
|
|
|
|
92.56
|
0
|
0
|
2016-03-09 16:50:46 |
1.2.2 |
FREME NER |
Bengal Star 100 (uploaded) |
D2KB |
0.7344
|
0.9863
|
0.585
|
0.6729
|
0.8683
|
0.6007
|
0.6849
|
0.6785
|
0.7311
|
0.6487
|
0.582
|
0.7328
|
|
|
|
|
|
|
92.56
|
0
|
0
|
2016-03-09 16:50:46 |
1.2.2 |
FREME NER |
Bengal Star Para 100 (uploaded) |
|
0.6558
|
0.5934
|
0.7328
|
0.6713
|
0.6703
|
0.7148
|
0.6713
|
0.6703
|
0.7148
|
0.6558
|
0.5934
|
0.7328
|
|
|
|
|
|
|
59.07
|
0
|
0
|
2016-03-09 16:55:10 |
1.2.2 |
FREME NER |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.8207
|
0.7426
|
0.917
|
0.8274
|
0.8108
|
0.91
|
0.6713
|
0.6703
|
0.7148
|
0.6558
|
0.5934
|
0.7328
|
|
|
|
|
|
|
59.07
|
0
|
0
|
2016-03-09 16:55:10 |
1.2.2 |
FREME NER |
Bengal Star Para 100 (uploaded) |
D2KB |
0.7263
|
0.9861
|
0.5749
|
0.6479
|
0.8383
|
0.577
|
0.6713
|
0.6703
|
0.7148
|
0.6558
|
0.5934
|
0.7328
|
|
|
|
|
|
|
59.07
|
0
|
0
|
2016-03-09 16:55:10 |
1.2.2 |
FREME NER |
Bengal Sym 100 (uploaded) |
|
0.6085
|
0.539
|
0.6985
|
0.6532
|
0.6522
|
0.6938
|
0.6532
|
0.6522
|
0.6938
|
0.6085
|
0.539
|
0.6985
|
|
|
|
|
|
|
88.85
|
0
|
0
|
2016-03-17 16:54:40 |
1.2.2 |
FREME NER |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.801
|
0.7095
|
0.9195
|
0.8241
|
0.7983
|
0.9195
|
0.6532
|
0.6522
|
0.6938
|
0.6085
|
0.539
|
0.6985
|
|
|
|
|
|
|
88.85
|
0
|
0
|
2016-03-17 16:54:40 |
1.2.2 |
FREME NER |
Bengal Sym 100 (uploaded) |
D2KB |
0.7303
|
0.9841
|
0.5805
|
0.6631
|
0.8614
|
0.5868
|
0.6532
|
0.6522
|
0.6938
|
0.6085
|
0.539
|
0.6985
|
|
|
|
|
|
|
88.85
|
0
|
0
|
2016-03-17 16:54:40 |
1.2.2 |
FREME NER |
Bengal Sym Para 100 (uploaded) |
|
0.5841
|
0.528
|
0.6536
|
0.6196
|
0.6279
|
0.6498
|
0.6196
|
0.6279
|
0.6498
|
0.5841
|
0.528
|
0.6536
|
|
|
|
|
|
|
49.51
|
0
|
0
|
2016-03-17 16:54:42 |
1.2.2 |
FREME NER |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7866
|
0.711
|
0.8801
|
0.7996
|
0.7883
|
0.88
|
0.6196
|
0.6279
|
0.6498
|
0.5841
|
0.528
|
0.6536
|
|
|
|
|
|
|
49.51
|
0
|
0
|
2016-03-17 16:54:42 |
1.2.2 |
FREME NER |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.6981
|
0.983
|
0.5412
|
0.6236
|
0.8264
|
0.5473
|
0.6196
|
0.6279
|
0.6498
|
0.5841
|
0.528
|
0.6536
|
|
|
|
|
|
|
49.51
|
0
|
0
|
2016-03-17 16:54:42 |
1.2.2 |
FREME NER |
Bengal Path 100 (uploaded) |
|
0.718
|
0.665
|
0.7802
|
0.7197
|
0.7046
|
0.7658
|
0.7197
|
0.7046
|
0.7658
|
0.718
|
0.665
|
0.7802
|
|
|
|
|
|
|
873.28
|
0
|
0
|
2016-03-09 16:56:53 |
1.2.2 |
FREME NER |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.8623
|
0.8023
|
0.9319
|
0.8576
|
0.8372
|
0.9199
|
0.7197
|
0.7046
|
0.7658
|
0.718
|
0.665
|
0.7802
|
|
|
|
|
|
|
873.28
|
0
|
0
|
2016-03-09 16:56:53 |
1.2.2 |
FREME NER |
Bengal Path 100 (uploaded) |
D2KB |
0.7907
|
0.9827
|
0.6615
|
0.7246
|
0.8785
|
0.6526
|
0.7197
|
0.7046
|
0.7658
|
0.718
|
0.665
|
0.7802
|
|
|
|
|
|
|
873.28
|
0
|
0
|
2016-03-09 16:56:53 |
1.2.2 |
FREME NER |
Bengal Path Para 100 (uploaded) |
|
0.6992
|
0.6526
|
0.7529
|
0.693
|
0.6933
|
0.7307
|
0.693
|
0.6933
|
0.7307
|
0.6992
|
0.6526
|
0.7529
|
|
|
|
|
|
|
59.71
|
0
|
0
|
2016-03-09 17:05:36 |
1.2.2 |
FREME NER |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.8509
|
0.7943
|
0.9163
|
0.8341
|
0.8262
|
0.8926
|
0.693
|
0.6933
|
0.7307
|
0.6992
|
0.6526
|
0.7529
|
|
|
|
|
|
|
59.71
|
0
|
0
|
2016-03-09 17:05:36 |
1.2.2 |
FREME NER |
Bengal Path Para 100 (uploaded) |
D2KB |
0.7721
|
0.982
|
0.6362
|
0.6929
|
0.8577
|
0.6187
|
0.693
|
0.6933
|
0.7307
|
0.6992
|
0.6526
|
0.7529
|
|
|
|
|
|
|
59.71
|
0
|
0
|
2016-03-09 17:05:36 |
1.2.2 |
FREME NER |
Bengal Hybrid 100 (uploaded) |
|
0.6718
|
0.6155
|
0.7394
|
0.6699
|
0.6653
|
0.7124
|
0.6699
|
0.6653
|
0.7124
|
0.6718
|
0.6155
|
0.7394
|
|
|
|
|
|
|
79.8
|
0.4259
|
0
|
2016-03-11 14:07:24 |
1.2.2 |
FREME NER |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.85
|
0.7739
|
0.9428
|
0.8482
|
0.8185
|
0.9297
|
0.6699
|
0.6653
|
0.7124
|
0.6718
|
0.6155
|
0.7394
|
|
|
|
|
|
|
79.8
|
0.4259
|
0
|
2016-03-11 14:07:24 |
1.2.2 |
FREME NER |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.7636
|
0.9866
|
0.6229
|
0.6822
|
0.8625
|
0.5977
|
0.6699
|
0.6653
|
0.7124
|
0.6718
|
0.6155
|
0.7394
|
|
|
|
|
|
|
79.8
|
0.4259
|
0
|
2016-03-11 14:07:24 |
1.2.2 |
FREME NER |
Bengal Hybrid Para 100 (uploaded) |
|
0.6518
|
0.5996
|
0.714
|
0.655
|
0.6481
|
0.6989
|
0.655
|
0.6481
|
0.6989
|
0.6518
|
0.5996
|
0.714
|
|
|
|
|
|
|
78.97
|
0
|
0
|
2016-03-11 14:07:24 |
1.2.2 |
FREME NER |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.8383
|
0.7718
|
0.9174
|
0.8408
|
0.8209
|
0.9137
|
0.655
|
0.6481
|
0.6989
|
0.6518
|
0.5996
|
0.714
|
|
|
|
|
|
|
78.97
|
0
|
0
|
2016-03-11 14:07:24 |
1.2.2 |
FREME NER |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.7441
|
0.986
|
0.5975
|
0.6703
|
0.8625
|
0.5805
|
0.655
|
0.6481
|
0.6989
|
0.6518
|
0.5996
|
0.714
|
|
|
|
|
|
|
78.97
|
0
|
0
|
2016-03-11 14:07:24 |
1.2.2 |
FREME NER |
Bengal Summary 100 (uploaded) |
|
0.5935
|
0.5044
|
0.7206
|
0.643
|
0.6093
|
0.7144
|
0.643
|
0.6093
|
0.7144
|
0.5935
|
0.5044
|
0.7206
|
|
|
|
|
|
|
58.54
|
0
|
0
|
2016-03-17 16:40:38 |
1.2.2 |
FREME NER |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.789
|
0.694
|
0.9143
|
0.815
|
0.7808
|
0.9189
|
0.643
|
0.6093
|
0.7144
|
0.5935
|
0.5044
|
0.7206
|
|
|
|
|
|
|
58.54
|
0
|
0
|
2016-03-17 16:40:38 |
1.2.2 |
FREME NER |
Bengal Summary 100 (uploaded) |
D2KB |
0.7505
|
0.9604
|
0.6159
|
0.6794
|
0.8317
|
0.6174
|
0.643
|
0.6093
|
0.7144
|
0.5935
|
0.5044
|
0.7206
|
|
|
|
|
|
|
58.54
|
0
|
0
|
2016-03-17 16:40:38 |
1.2.2 |
FREME NER |
Bengal Summary Para 100 (uploaded) |
|
0.5773
|
0.4871
|
0.7085
|
0.6392
|
0.6064
|
0.7091
|
0.6392
|
0.6064
|
0.7091
|
0.5773
|
0.4871
|
0.7085
|
|
|
|
|
|
|
56.49
|
0
|
0
|
2016-03-17 16:40:38 |
1.2.2 |
FREME NER |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7839
|
0.6854
|
0.9154
|
0.8161
|
0.7844
|
0.9158
|
0.6392
|
0.6064
|
0.7091
|
0.5773
|
0.4871
|
0.7085
|
|
|
|
|
|
|
56.49
|
0
|
0
|
2016-03-17 16:40:38 |
1.2.2 |
FREME NER |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.7427
|
0.9697
|
0.6019
|
0.6757
|
0.8338
|
0.6108
|
0.6392
|
0.6064
|
0.7091
|
0.5773
|
0.4871
|
0.7085
|
|
|
|
|
|
|
56.49
|
0
|
0
|
2016-03-17 16:40:38 |
1.2.2 |
Kea |
ACE2004 |
|
0.0627
|
0.0344
|
0.3497
|
0.0787
|
0.0498
|
0.2472
|
0.0811
|
0.0498
|
0.2921
|
0.0637
|
0.0344
|
0.428
|
0
|
0
|
0
|
0
|
0
|
0
|
4,409.9825
|
0.5053
|
0
|
2016-03-05 01:06:24 |
1.2.2 |
Kea |
ACE2004 |
Entity Recognition |
0.1148
|
0.0684
|
0.3562
|
0.1067
|
0.0758
|
0.2142
|
0.0811
|
0.0498
|
0.2921
|
0.0637
|
0.0344
|
0.428
|
0
|
0
|
0
|
0
|
0
|
0
|
4,409.9825
|
0.5053
|
0
|
2016-03-05 01:06:24 |
1.2.2 |
Kea |
ACE2004 |
D2KB |
0
|
0
|
0
|
0.3684
|
0.3684
|
0.3684
|
0.0811
|
0.0498
|
0.2921
|
0.0637
|
0.0344
|
0.428
|
0
|
0
|
0
|
0
|
0
|
0
|
4,409.9825
|
0.5053
|
0
|
2016-03-05 01:06:24 |
1.2.2 |
Kea |
AIDA/CoNLL-Complete |
|
0.2927
|
0.2687
|
0.3214
|
0.2754
|
0.2483
|
0.3612
|
0.3142
|
0.2483
|
0.5535
|
0.3438
|
0.2687
|
0.477
|
0
|
0
|
0
|
0
|
0
|
0
|
36,032.3115
|
0.5022
|
80
|
2016-03-06 21:11:22 |
1.2.2 |
Kea |
AIDA/CoNLL-Complete |
Entity Recognition |
0.5104
|
0.4353
|
0.617
|
0.4898
|
0.4199
|
0.6955
|
0.3142
|
0.2483
|
0.5535
|
0.3438
|
0.2687
|
0.477
|
0
|
0
|
0
|
0
|
0
|
0
|
36,032.3115
|
0.5022
|
0
|
2016-03-06 21:11:22 |
1.2.2 |
Kea |
AIDA/CoNLL-Complete |
D2KB |
0.4268
|
0.6155
|
0.3267
|
0.4327
|
0.5885
|
0.3637
|
0.3142
|
0.2483
|
0.5535
|
0.3438
|
0.2687
|
0.477
|
0
|
0
|
0
|
0
|
0
|
0
|
36,032.3115
|
0.5022
|
0
|
2016-03-06 21:11:22 |
1.2.2 |
Kea |
AIDA/CoNLL-Test A |
|
0.3332
|
0.2983
|
0.3774
|
0.2991
|
0.2731
|
0.3706
|
0.339
|
0.2731
|
0.5489
|
0.3844
|
0.2983
|
0.5407
|
0
|
0
|
0
|
0
|
0
|
0
|
1,525.4259
|
0.5045
|
0
|
2016-03-05 12:48:24 |
1.2.2 |
Kea |
AIDA/CoNLL-Test A |
Entity Recognition |
0.5647
|
0.4617
|
0.7267
|
0.5475
|
0.4747
|
0.7412
|
0.339
|
0.2731
|
0.5489
|
0.3844
|
0.2983
|
0.5407
|
0
|
0
|
0
|
0
|
0
|
0
|
1,525.4259
|
0.5045
|
0
|
2016-03-05 12:48:24 |
1.2.2 |
Kea |
AIDA/CoNLL-Test A |
D2KB |
0.4778
|
0.6265
|
0.3862
|
0.4492
|
0.615
|
0.3736
|
0.339
|
0.2731
|
0.5489
|
0.3844
|
0.2983
|
0.5407
|
0
|
0
|
0
|
0
|
0
|
0
|
1,525.4259
|
0.5045
|
0
|
2016-03-05 12:48:24 |
1.2.2 |
Kea |
AIDA/CoNLL-Test B |
|
0.2847
|
0.2666
|
0.3056
|
0.2724
|
0.2439
|
0.3551
|
0.3117
|
0.2439
|
0.5409
|
0.3392
|
0.2666
|
0.4661
|
0
|
0
|
0
|
0
|
0
|
0
|
51,535.9249
|
0.501
|
18
|
2016-03-05 20:12:36 |
1.2.2 |
Kea |
AIDA/CoNLL-Test B |
Entity Recognition |
0.5308
|
0.473
|
0.6047
|
0.4969
|
0.4343
|
0.6793
|
0.3117
|
0.2439
|
0.5409
|
0.3392
|
0.2666
|
0.4661
|
0
|
0
|
0
|
0
|
0
|
0
|
51,535.9249
|
0.501
|
0
|
2016-03-05 20:12:36 |
1.2.2 |
Kea |
AIDA/CoNLL-Test B |
D2KB |
0.4133
|
0.5937
|
0.317
|
0.4343
|
0.5753
|
0.3652
|
0.3117
|
0.2439
|
0.5409
|
0.3392
|
0.2666
|
0.4661
|
0
|
0
|
0
|
0
|
0
|
0
|
51,535.9249
|
0.501
|
0
|
2016-03-05 20:12:36 |
1.2.2 |
Kea |
AIDA/CoNLL-Training |
|
0.2915
|
0.2636
|
0.326
|
0.2735
|
0.2431
|
0.3682
|
0.3112
|
0.2431
|
0.567
|
0.3416
|
0.2636
|
0.4849
|
0
|
0
|
0
|
0
|
0
|
0
|
37,857.2778
|
0.5012
|
57
|
2016-03-06 20:52:20 |
1.2.2 |
Kea |
AIDA/CoNLL-Training |
Entity Recognition |
0.4968
|
0.4218
|
0.6042
|
0.4785
|
0.4068
|
0.6932
|
0.3112
|
0.2431
|
0.567
|
0.3416
|
0.2636
|
0.4849
|
0
|
0
|
0
|
0
|
0
|
0
|
37,857.2778
|
0.5012
|
0
|
2016-03-06 20:52:20 |
1.2.2 |
Kea |
AIDA/CoNLL-Training |
D2KB |
0.4273
|
0.6304
|
0.3232
|
0.4332
|
0.5965
|
0.3636
|
0.3112
|
0.2431
|
0.567
|
0.3416
|
0.2636
|
0.4849
|
0
|
0
|
0
|
0
|
0
|
0
|
37,857.2778
|
0.5012
|
0
|
2016-03-06 20:52:20 |
1.2.2 |
Kea |
AQUAINT |
|
0.1375
|
0.1008
|
0.216
|
0.1238
|
0.0873
|
0.2286
|
0.126
|
0.0873
|
0.2495
|
0.1402
|
0.1008
|
0.2299
|
0
|
0
|
0
|
0
|
0
|
0
|
131,439.6744
|
0.5061
|
7
|
2016-03-06 00:24:04 |
1.2.2 |
Kea |
AQUAINT |
Entity Recognition |
0.3196
|
0.2344
|
0.5021
|
0.2799
|
0.1998
|
0.5002
|
0.126
|
0.0873
|
0.2495
|
0.1402
|
0.1008
|
0.2299
|
0
|
0
|
0
|
0
|
0
|
0
|
131,439.6744
|
0.5061
|
0
|
2016-03-06 00:24:04 |
1.2.2 |
Kea |
AQUAINT |
D2KB |
0
|
0
|
0
|
0
|
0
|
0
|
0.126
|
0.0873
|
0.2495
|
0.1402
|
0.1008
|
0.2299
|
0
|
0
|
0
|
0
|
0
|
0
|
131,439.6744
|
0.5061
|
0
|
2016-03-06 00:24:04 |
1.2.2 |
Kea |
DBpediaSpotlight |
|
0.4885
|
0.5872
|
0.4182
|
0.4018
|
0.4697
|
0.3914
|
0.4018
|
0.4697
|
0.3914
|
0.4885
|
0.5872
|
0.4182
|
|
|
|
|
|
|
48,801.2632
|
0.4963
|
1
|
2016-03-05 23:11:34 |
1.2.2 |
Kea |
DBpediaSpotlight |
Entity Recognition |
0.7211
|
0.6543
|
0.803
|
0.6554
|
0.6305
|
0.7775
|
0.4018
|
0.4697
|
0.3914
|
0.4885
|
0.5872
|
0.4182
|
|
|
|
|
|
|
48,801.2632
|
0.4963
|
0
|
2016-03-05 23:11:34 |
1.2.2 |
Kea |
DBpediaSpotlight |
D2KB |
0.5833
|
0.7778
|
0.4667
|
0.5661
|
0.7223
|
0.4909
|
0.4018
|
0.4697
|
0.3914
|
0.4885
|
0.5872
|
0.4182
|
|
|
|
|
|
|
48,801.2632
|
0.4963
|
0
|
2016-03-05 23:11:34 |
1.2.2 |
Kea |
IITB |
|
0.2562
|
0.3832
|
0.1924
|
0.2618
|
0.3585
|
0.21
|
0.3461
|
0.3585
|
0.3439
|
0.348
|
0.3832
|
0.3187
|
0
|
0
|
0
|
0
|
0
|
0
|
47,092.6277
|
0.4997
|
10
|
2016-03-07 00:11:09 |
1.2.2 |
Kea |
IITB |
Entity Recognition |
0.5795
|
0.6211
|
0.5432
|
0.5734
|
0.5699
|
0.5941
|
0.3461
|
0.3585
|
0.3439
|
0.348
|
0.3832
|
0.3187
|
0
|
0
|
0
|
0
|
0
|
0
|
47,092.6277
|
0.4997
|
0
|
2016-03-07 00:11:09 |
1.2.2 |
Kea |
IITB |
D2KB |
0.0639
|
0.4732
|
0.0342
|
0.0658
|
0.3252
|
0.0451
|
0.3461
|
0.3585
|
0.3439
|
0.348
|
0.3832
|
0.3187
|
0
|
0
|
0
|
0
|
0
|
0
|
47,092.6277
|
0.4997
|
0
|
2016-03-07 00:11:09 |
1.2.2 |
Kea |
KORE50 |
|
0.4558
|
0.3865
|
0.5556
|
0.4464
|
0.4085
|
0.5253
|
0.4464
|
0.4085
|
0.5253
|
0.4558
|
0.3865
|
0.5556
|
|
|
|
|
|
|
28,985.86
|
0.4779
|
0
|
2016-03-06 05:24:32 |
1.2.2 |
Kea |
KORE50 |
Entity Recognition |
0.7635
|
0.6473
|
0.9306
|
0.776
|
0.7331
|
0.9193
|
0.4464
|
0.4085
|
0.5253
|
0.4558
|
0.3865
|
0.5556
|
|
|
|
|
|
|
28,985.86
|
0.4779
|
0
|
2016-03-06 05:24:32 |
1.2.2 |
Kea |
KORE50 |
D2KB |
0.5556
|
0.5952
|
0.5208
|
0.4934
|
0.5223
|
0.4777
|
0.4464
|
0.4085
|
0.5253
|
0.4558
|
0.3865
|
0.5556
|
|
|
|
|
|
|
28,985.86
|
0.4779
|
0
|
2016-03-06 05:24:32 |
1.2.2 |
Kea |
Microposts2014-Test |
|
0.2419
|
0.2494
|
0.2349
|
0.4119
|
0.426
|
0.4181
|
0.4153
|
0.4289
|
0.4219
|
0.243
|
0.2494
|
0.2369
|
0
|
0
|
0
|
0
|
0
|
0
|
169.4777
|
0.5118
|
0
|
2016-03-06 18:52:53 |
1.2.2 |
Kea |
Microposts2014-Test |
Entity Recognition |
0.3018
|
0.3111
|
0.293
|
0.4435
|
0.4602
|
0.4519
|
0.4153
|
0.4289
|
0.4219
|
0.243
|
0.2494
|
0.2369
|
0
|
0
|
0
|
0
|
0
|
0
|
169.4777
|
0.5118
|
0
|
2016-03-06 18:52:53 |
1.2.2 |
Kea |
Microposts2014-Test |
D2KB |
0.5611
|
0.7266
|
0.457
|
0.6881
|
0.7246
|
0.671
|
0.4153
|
0.4289
|
0.4219
|
0.243
|
0.2494
|
0.2369
|
0
|
0
|
0
|
0
|
0
|
0
|
169.4777
|
0.5118
|
0
|
2016-03-06 18:52:53 |
1.2.2 |
Kea |
Microposts2014-Train |
|
0.3438
|
0.3184
|
0.3736
|
0.389
|
0.3941
|
0.4198
|
0.3894
|
0.3941
|
0.4215
|
0.345
|
0.3184
|
0.3765
|
0
|
0
|
0
|
0
|
0
|
0
|
133.0137
|
0.5056
|
0
|
2016-03-07 08:26:34 |
1.2.2 |
Kea |
Microposts2014-Train |
Entity Recognition |
0.439
|
0.3851
|
0.5105
|
0.4337
|
0.4292
|
0.4897
|
0.3894
|
0.3941
|
0.4215
|
0.345
|
0.3184
|
0.3765
|
0
|
0
|
0
|
0
|
0
|
0
|
133.0137
|
0.5056
|
0
|
2016-03-07 08:26:34 |
1.2.2 |
Kea |
Microposts2014-Train |
D2KB |
0.6105
|
0.7514
|
0.5141
|
0.6862
|
0.7419
|
0.6592
|
0.3894
|
0.3941
|
0.4215
|
0.345
|
0.3184
|
0.3765
|
0
|
0
|
0
|
0
|
0
|
0
|
133.0137
|
0.5056
|
0
|
2016-03-07 08:26:34 |
1.2.2 |
Kea |
MSNBC |
|
0.1095
|
0.0932
|
0.1325
|
0.1281
|
0.114
|
0.1661
|
0.1363
|
0.114
|
0.2025
|
0.1166
|
0.0932
|
0.1557
|
0
|
0
|
0
|
0
|
0
|
0
|
3,160.75
|
0.5116
|
0
|
2016-03-06 09:20:09 |
1.2.2 |
Kea |
MSNBC |
Entity Recognition |
0.3051
|
0.2194
|
0.5007
|
0.3018
|
0.2255
|
0.5231
|
0.1363
|
0.114
|
0.2025
|
0.1166
|
0.0932
|
0.1557
|
0
|
0
|
0
|
0
|
0
|
0
|
3,160.75
|
0.5116
|
0
|
2016-03-06 09:20:09 |
1.2.2 |
Kea |
MSNBC |
D2KB |
0.1361
|
0.9016
|
0.0736
|
0.1678
|
0.8894
|
0.097
|
0.1363
|
0.114
|
0.2025
|
0.1166
|
0.0932
|
0.1557
|
0
|
0
|
0
|
0
|
0
|
0
|
3,160.75
|
0.5116
|
0
|
2016-03-06 09:20:09 |
1.2.2 |
Kea |
N3-Reuters-128 |
|
0.1771
|
0.1278
|
0.2886
|
0.1697
|
0.1391
|
0.2932
|
0.1912
|
0.1469
|
0.381
|
0.1949
|
0.1278
|
0.4103
|
0
|
0
|
0
|
0
|
0
|
0
|
680.8828
|
0.511
|
0
|
2016-03-07 05:02:04 |
1.2.2 |
Kea |
N3-Reuters-128 |
Entity Recognition |
0.3173
|
0.2289
|
0.517
|
0.3311
|
0.2605
|
0.5972
|
0.1912
|
0.1469
|
0.381
|
0.1949
|
0.1278
|
0.4103
|
0
|
0
|
0
|
0
|
0
|
0
|
680.8828
|
0.511
|
0
|
2016-03-07 05:02:04 |
1.2.2 |
Kea |
N3-Reuters-128 |
D2KB |
0.4346
|
0.6028
|
0.3398
|
0.3886
|
0.5333
|
0.3241
|
0.1912
|
0.1469
|
0.381
|
0.1949
|
0.1278
|
0.4103
|
0
|
0
|
0
|
0
|
0
|
0
|
680.8828
|
0.511
|
0
|
2016-03-07 05:02:04 |
1.2.2 |
Kea |
N3-RSS-500 |
|
0.1725
|
0.125
|
0.278
|
0.1753
|
0.1507
|
0.278
|
0.2044
|
0.1647
|
0.37
|
0.2029
|
0.125
|
0.5388
|
0
|
0
|
0
|
0
|
0
|
0
|
329.22
|
0.5064
|
0
|
2016-03-07 02:35:41 |
1.2.2 |
Kea |
N3-RSS-500 |
Entity Recognition |
0.3432
|
0.2185
|
0.8
|
0.3774
|
0.2651
|
0.8
|
0.2044
|
0.1647
|
0.37
|
0.2029
|
0.125
|
0.5388
|
0
|
0
|
0
|
0
|
0
|
0
|
329.22
|
0.5064
|
0
|
2016-03-07 02:35:41 |
1.2.2 |
Kea |
N3-RSS-500 |
D2KB |
0.4275
|
0.6321
|
0.323
|
0.3617
|
0.439
|
0.323
|
0.2044
|
0.1647
|
0.37
|
0.2029
|
0.125
|
0.5388
|
0
|
0
|
0
|
0
|
0
|
0
|
329.22
|
0.5064
|
0
|
2016-03-07 02:35:41 |
1.2.2 |
Kea |
OKE 2015 Task 1 evaluation dataset |
|
0.4198
|
0.3854
|
0.4608
|
0.4311
|
0.4315
|
0.4728
|
0.4929
|
0.4414
|
0.626
|
0.4708
|
0.3854
|
0.6047
|
0
|
0
|
0
|
0
|
0
|
0
|
7,953.6931
|
0.4929
|
0
|
2016-03-07 05:35:42 |
1.2.2 |
Kea |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.6377
|
0.5605
|
0.7395
|
0.6402
|
0.6041
|
0.741
|
0.4929
|
0.4414
|
0.626
|
0.4708
|
0.3854
|
0.6047
|
0
|
0
|
0
|
0
|
0
|
0
|
7,953.6931
|
0.4929
|
0
|
2016-03-07 05:35:42 |
1.2.2 |
Kea |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5512
|
0.7559
|
0.4337
|
0.5365
|
0.756
|
0.4395
|
0.4929
|
0.4414
|
0.626
|
0.4708
|
0.3854
|
0.6047
|
0
|
0
|
0
|
0
|
0
|
0
|
7,953.6931
|
0.4929
|
0
|
2016-03-07 05:35:42 |
1.2.2 |
Kea |
OKE 2015 Task 1 gold standard sample |
|
0.5044
|
0.4425
|
0.5865
|
0.4802
|
0.447
|
0.5946
|
0.5105
|
0.4576
|
0.6539
|
0.5305
|
0.4425
|
0.6623
|
0
|
0
|
0
|
0
|
0
|
0
|
3,808
|
0.5061
|
0
|
2016-03-07 05:47:19 |
1.2.2 |
Kea |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.6653
|
0.5093
|
0.9589
|
0.6702
|
0.542
|
0.9663
|
0.5105
|
0.4576
|
0.6539
|
0.5305
|
0.4425
|
0.6623
|
0
|
0
|
0
|
0
|
0
|
0
|
3,808
|
0.5061
|
0
|
2016-03-07 05:47:19 |
1.2.2 |
Kea |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.6931
|
0.841
|
0.5894
|
0.662
|
0.7992
|
0.5974
|
0.5105
|
0.4576
|
0.6539
|
0.5305
|
0.4425
|
0.6623
|
0
|
0
|
0
|
0
|
0
|
0
|
3,808
|
0.5061
|
0
|
2016-03-07 05:47:19 |
1.2.2 |
Kea |
Bengal Star 100 (uploaded) |
|
0.6608
|
0.5159
|
0.919
|
0.6672
|
0.5329
|
0.9136
|
0.6672
|
0.5329
|
0.9136
|
0.6608
|
0.5159
|
0.919
|
|
|
|
|
|
|
2,483.06
|
0.4381
|
0
|
2016-03-09 16:40:15 |
1.2.2 |
Kea |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.7089
|
0.5534
|
0.9858
|
0.7197
|
0.5727
|
0.993
|
0.6672
|
0.5329
|
0.9136
|
0.6608
|
0.5159
|
0.919
|
|
|
|
|
|
|
2,483.06
|
0.4381
|
0
|
2016-03-09 16:40:15 |
1.2.2 |
Kea |
Bengal Star 100 (uploaded) |
D2KB |
0.9146
|
0.9814
|
0.8563
|
0.889
|
0.9561
|
0.8574
|
0.6672
|
0.5329
|
0.9136
|
0.6608
|
0.5159
|
0.919
|
|
|
|
|
|
|
2,483.06
|
0.4381
|
0
|
2016-03-09 16:40:15 |
1.2.2 |
Kea |
Bengal Star Para 100 (uploaded) |
|
0.6652
|
0.5239
|
0.9109
|
0.6708
|
0.5421
|
0.9002
|
0.6708
|
0.5421
|
0.9002
|
0.6652
|
0.5239
|
0.9109
|
|
|
|
|
|
|
834.9
|
0.4381
|
0
|
2016-03-09 16:57:05 |
1.2.2 |
Kea |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7199
|
0.5669
|
0.9858
|
0.7362
|
0.5945
|
0.993
|
0.6708
|
0.5421
|
0.9002
|
0.6652
|
0.5239
|
0.9109
|
|
|
|
|
|
|
834.9
|
0.4381
|
0
|
2016-03-09 16:57:05 |
1.2.2 |
Kea |
Bengal Star Para 100 (uploaded) |
D2KB |
0.9097
|
0.9835
|
0.8462
|
0.8749
|
0.9436
|
0.8416
|
0.6708
|
0.5421
|
0.9002
|
0.6652
|
0.5239
|
0.9109
|
|
|
|
|
|
|
834.9
|
0.4381
|
0
|
2016-03-09 16:57:05 |
1.2.2 |
Kea |
Bengal Sym 100 (uploaded) |
|
0.66
|
0.513
|
0.9251
|
0.6749
|
0.5352
|
0.9313
|
0.6749
|
0.5352
|
0.9313
|
0.66
|
0.513
|
0.9251
|
|
|
|
|
|
|
8,675.04
|
0.4391
|
0
|
2016-03-17 16:57:03 |
1.2.2 |
Kea |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7014
|
0.5452
|
0.9831
|
0.7124
|
0.5638
|
0.9873
|
0.6749
|
0.5352
|
0.9313
|
0.66
|
0.513
|
0.9251
|
|
|
|
|
|
|
8,675.04
|
0.4391
|
0
|
2016-03-17 16:57:03 |
1.2.2 |
Kea |
Bengal Sym 100 (uploaded) |
D2KB |
0.9212
|
0.9851
|
0.8652
|
0.9078
|
0.9775
|
0.8742
|
0.6749
|
0.5352
|
0.9313
|
0.66
|
0.513
|
0.9251
|
|
|
|
|
|
|
8,675.04
|
0.4391
|
0
|
2016-03-17 16:57:03 |
1.2.2 |
Kea |
Bengal Sym Para 100 (uploaded) |
|
0.6694
|
0.5294
|
0.9101
|
0.6747
|
0.5427
|
0.9072
|
0.6747
|
0.5427
|
0.9072
|
0.6694
|
0.5294
|
0.9101
|
|
|
|
|
|
|
3,393.18
|
0.4391
|
0
|
2016-03-17 16:57:24 |
1.2.2 |
Kea |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7149
|
0.5654
|
0.9719
|
0.7141
|
0.5731
|
0.9653
|
0.6747
|
0.5427
|
0.9072
|
0.6694
|
0.5294
|
0.9101
|
|
|
|
|
|
|
3,393.18
|
0.4391
|
0
|
2016-03-17 16:57:24 |
1.2.2 |
Kea |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.9082
|
0.9847
|
0.8427
|
0.8783
|
0.9575
|
0.8392
|
0.6747
|
0.5427
|
0.9072
|
0.6694
|
0.5294
|
0.9101
|
|
|
|
|
|
|
3,393.18
|
0.4391
|
0
|
2016-03-17 16:57:24 |
1.2.2 |
Kea |
Bengal Path 100 (uploaded) |
|
0.6795
|
0.536
|
0.928
|
0.6805
|
0.5438
|
0.9282
|
0.6805
|
0.5438
|
0.9282
|
0.6795
|
0.536
|
0.928
|
|
|
|
|
|
|
3,260.53
|
0.4138
|
0
|
2016-03-09 16:43:45 |
1.2.2 |
Kea |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.7226
|
0.5695
|
0.9883
|
0.723
|
0.5766
|
0.99
|
0.6805
|
0.5438
|
0.9282
|
0.6795
|
0.536
|
0.928
|
|
|
|
|
|
|
3,260.53
|
0.4138
|
0
|
2016-03-09 16:43:45 |
1.2.2 |
Kea |
Bengal Path 100 (uploaded) |
D2KB |
0.9464
|
0.9853
|
0.9105
|
0.9334
|
0.9772
|
0.907
|
0.6805
|
0.5438
|
0.9282
|
0.6795
|
0.536
|
0.928
|
|
|
|
|
|
|
3,260.53
|
0.4138
|
0
|
2016-03-09 16:43:45 |
1.2.2 |
Kea |
Bengal Path Para 100 (uploaded) |
|
0.7012
|
0.5606
|
0.9358
|
0.7009
|
0.5685
|
0.9308
|
0.7009
|
0.5685
|
0.9308
|
0.7012
|
0.5606
|
0.9358
|
|
|
|
|
|
|
1,184.2
|
0.4138
|
0
|
2016-03-09 16:56:13 |
1.2.2 |
Kea |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7438
|
0.5942
|
0.9942
|
0.7462
|
0.6037
|
0.9954
|
0.7009
|
0.5685
|
0.9308
|
0.7012
|
0.5606
|
0.9358
|
|
|
|
|
|
|
1,184.2
|
0.4138
|
0
|
2016-03-09 16:56:13 |
1.2.2 |
Kea |
Bengal Path Para 100 (uploaded) |
D2KB |
0.9505
|
0.9895
|
0.9144
|
0.9329
|
0.9792
|
0.9047
|
0.7009
|
0.5685
|
0.9308
|
0.7012
|
0.5606
|
0.9358
|
|
|
|
|
|
|
1,184.2
|
0.4138
|
0
|
2016-03-09 16:56:13 |
1.2.2 |
Kea |
Bengal Hybrid 100 (uploaded) |
|
0.6832
|
0.5385
|
0.9343
|
0.6807
|
0.5447
|
0.9306
|
0.6807
|
0.5447
|
0.9306
|
0.6832
|
0.5385
|
0.9343
|
|
|
|
|
|
|
2,753.81
|
0
|
0
|
2016-03-11 14:04:55 |
1.2.2 |
Kea |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.7204
|
0.5678
|
0.9852
|
0.7223
|
0.5775
|
0.9897
|
0.6807
|
0.5447
|
0.9306
|
0.6832
|
0.5385
|
0.9343
|
|
|
|
|
|
|
2,753.81
|
0
|
0
|
2016-03-11 14:04:55 |
1.2.2 |
Kea |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.9421
|
0.993
|
0.8962
|
0.9303
|
0.993
|
0.8932
|
0.6807
|
0.5447
|
0.9306
|
0.6832
|
0.5385
|
0.9343
|
|
|
|
|
|
|
2,753.81
|
0
|
0
|
2016-03-11 14:04:55 |
1.2.2 |
Kea |
Bengal Hybrid Para 100 (uploaded) |
|
0.693
|
0.553
|
0.928
|
0.685
|
0.5524
|
0.9223
|
0.685
|
0.5524
|
0.9223
|
0.693
|
0.553
|
0.928
|
|
|
|
|
|
|
1,248.69
|
0
|
0
|
2016-03-11 14:05:39 |
1.2.2 |
Kea |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.7326
|
0.5846
|
0.9809
|
0.7271
|
0.5854
|
0.983
|
0.685
|
0.5524
|
0.9223
|
0.693
|
0.553
|
0.928
|
|
|
|
|
|
|
1,248.69
|
0
|
0
|
2016-03-11 14:05:39 |
1.2.2 |
Kea |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.9314
|
0.9928
|
0.8771
|
0.918
|
0.9928
|
0.8755
|
0.685
|
0.5524
|
0.9223
|
0.693
|
0.553
|
0.928
|
|
|
|
|
|
|
1,248.69
|
0
|
0
|
2016-03-11 14:05:39 |
1.2.2 |
Kea |
Bengal Summary 100 (uploaded) |
|
0.4522
|
0.3438
|
0.6603
|
0.3762
|
0.3016
|
0.5782
|
0.3762
|
0.3016
|
0.5782
|
0.4522
|
0.3438
|
0.6603
|
|
|
|
|
|
|
9,337.63
|
0.5108
|
0
|
2016-03-17 16:56:14 |
1.2.2 |
Kea |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.5229
|
0.398
|
0.7619
|
0.4325
|
0.3461
|
0.659
|
0.3762
|
0.3016
|
0.5782
|
0.4522
|
0.3438
|
0.6603
|
|
|
|
|
|
|
9,337.63
|
0.5108
|
0
|
2016-03-17 16:56:14 |
1.2.2 |
Kea |
Bengal Summary 100 (uploaded) |
D2KB |
0.878
|
0.973
|
0.8
|
0.8311
|
0.8907
|
0.7976
|
0.3762
|
0.3016
|
0.5782
|
0.4522
|
0.3438
|
0.6603
|
|
|
|
|
|
|
9,337.63
|
0.5108
|
0
|
2016-03-17 16:56:14 |
1.2.2 |
Kea |
Bengal Summary Para 100 (uploaded) |
|
0.4581
|
0.3275
|
0.7618
|
0.3817
|
0.2844
|
0.6531
|
0.3817
|
0.2844
|
0.6531
|
0.4581
|
0.3275
|
0.7618
|
|
|
|
|
|
|
9,312.91
|
0.502
|
0
|
2016-03-17 16:56:04 |
1.2.2 |
Kea |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.5293
|
0.4046
|
0.7649
|
0.4351
|
0.3451
|
0.6576
|
0.3817
|
0.2844
|
0.6531
|
0.4581
|
0.3275
|
0.7618
|
|
|
|
|
|
|
9,312.91
|
0.502
|
0
|
2016-03-17 16:56:04 |
1.2.2 |
Kea |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.8808
|
0.9808
|
0.7994
|
0.8321
|
0.893
|
0.7983
|
0.3817
|
0.2844
|
0.6531
|
0.4581
|
0.3275
|
0.7618
|
|
|
|
|
|
|
9,312.91
|
0.502
|
0
|
2016-03-17 16:56:04 |
1.2.2 |
NERD-ML |
ACE2004 |
|
0.2354
|
0.185
|
0.3235
|
0.1909
|
0.202
|
0.2129
|
0.2077
|
0.202
|
0.2492
|
0.2522
|
0.185
|
0.396
|
0
|
0
|
0
|
0
|
0
|
0
|
5,727.2105
|
0.97
|
0
|
2016-03-04 23:24:55 |
1.2.2 |
NERD-ML |
ACE2004 |
Entity Recognition |
0.2772
|
0.1959
|
0.4739
|
0.2144
|
0.2044
|
0.2785
|
0.2077
|
0.202
|
0.2492
|
0.2522
|
0.185
|
0.396
|
0
|
0
|
0
|
0
|
0
|
0
|
5,727.2105
|
0.97
|
0
|
2016-03-04 23:24:55 |
1.2.2 |
NERD-ML |
ACE2004 |
D2KB |
0.5737
|
0.7347
|
0.4706
|
0.7248
|
0.8127
|
0.6745
|
0.2077
|
0.202
|
0.2492
|
0.2522
|
0.185
|
0.396
|
0
|
0
|
0
|
0
|
0
|
0
|
5,727.2105
|
0.97
|
0
|
2016-03-04 23:24:55 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Complete |
|
0.3396
|
0.3354
|
0.3439
|
0.2859
|
0.2891
|
0.341
|
0.3308
|
0.2912
|
0.5
|
0.4047
|
0.3354
|
0.5103
|
0
|
0
|
0
|
0
|
0
|
0
|
6,193.7057
|
0.0818
|
0
|
2016-03-05 20:31:31 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Complete |
Entity Recognition |
0.5706
|
0.5322
|
0.6151
|
0.5177
|
0.5076
|
0.641
|
0.3308
|
0.2912
|
0.5
|
0.4047
|
0.3354
|
0.5103
|
0
|
0
|
0
|
0
|
0
|
0
|
6,193.7057
|
0.0818
|
0
|
2016-03-05 20:31:31 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Complete |
D2KB |
0.4664
|
0.63
|
0.3703
|
0.428
|
0.5988
|
0.3578
|
0.3308
|
0.2912
|
0.5
|
0.4047
|
0.3354
|
0.5103
|
0
|
0
|
0
|
0
|
0
|
0
|
6,193.7057
|
0.0818
|
0
|
2016-03-05 20:31:31 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Test A |
|
0.4028
|
0.368
|
0.445
|
0.3685
|
0.3466
|
0.4414
|
0.4172
|
0.3466
|
0.6438
|
0.4666
|
0.368
|
0.6375
|
0
|
0
|
0
|
0
|
0
|
0
|
5,647.3889
|
0.1381
|
0
|
2016-03-05 10:26:33 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Test A |
Entity Recognition |
0.6537
|
0.599
|
0.7195
|
0.6213
|
0.5944
|
0.7347
|
0.4172
|
0.3466
|
0.6438
|
0.4666
|
0.368
|
0.6375
|
0
|
0
|
0
|
0
|
0
|
0
|
5,647.3889
|
0.1381
|
0
|
2016-03-05 10:26:33 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Test A |
D2KB |
0.5462
|
0.6745
|
0.4588
|
0.5135
|
0.6457
|
0.4493
|
0.4172
|
0.3466
|
0.6438
|
0.4666
|
0.368
|
0.6375
|
0
|
0
|
0
|
0
|
0
|
0
|
5,647.3889
|
0.1381
|
0
|
2016-03-05 10:26:33 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Test B |
|
0.3292
|
0.3154
|
0.3442
|
0.3012
|
0.3044
|
0.3746
|
0.3494
|
0.3087
|
0.5451
|
0.3941
|
0.3154
|
0.525
|
0
|
0
|
0
|
0
|
0
|
0
|
10,561.2727
|
0.0813
|
0
|
2016-03-05 15:46:41 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Test B |
Entity Recognition |
0.5834
|
0.5208
|
0.6629
|
0.5442
|
0.5208
|
0.7041
|
0.3494
|
0.3087
|
0.5451
|
0.3941
|
0.3154
|
0.525
|
0
|
0
|
0
|
0
|
0
|
0
|
10,561.2727
|
0.0813
|
0
|
2016-03-05 15:46:41 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Test B |
D2KB |
0.4479
|
0.5978
|
0.3581
|
0.4432
|
0.5988
|
0.376
|
0.3494
|
0.3087
|
0.5451
|
0.3941
|
0.3154
|
0.525
|
0
|
0
|
0
|
0
|
0
|
0
|
10,561.2727
|
0.0813
|
0
|
2016-03-05 15:46:41 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Training |
|
0.3264
|
0.3331
|
0.32
|
0.2688
|
0.2777
|
0.3135
|
0.3119
|
0.2788
|
0.4613
|
0.392
|
0.3331
|
0.4761
|
0
|
0
|
0
|
0
|
0
|
0
|
5,334.5148
|
0.0753
|
0
|
2016-03-05 20:29:47 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Training |
Entity Recognition |
0.5498
|
0.4936
|
0.6204
|
0.4982
|
0.4723
|
0.6334
|
0.3119
|
0.2788
|
0.4613
|
0.392
|
0.3331
|
0.4761
|
0
|
0
|
0
|
0
|
0
|
0
|
5,334.5148
|
0.0753
|
0
|
2016-03-05 20:29:47 |
1.2.2 |
NERD-ML |
AIDA/CoNLL-Training |
D2KB |
0.4503
|
0.6303
|
0.3503
|
0.4054
|
0.5923
|
0.3318
|
0.3119
|
0.2788
|
0.4613
|
0.392
|
0.3331
|
0.4761
|
0
|
0
|
0
|
0
|
0
|
0
|
5,334.5148
|
0.0753
|
0
|
2016-03-05 20:29:47 |
1.2.2 |
NERD-ML |
AQUAINT |
|
0.2962
|
0.2246
|
0.4347
|
0.275
|
0.2373
|
0.4218
|
0.2812
|
0.2373
|
0.4511
|
0.3024
|
0.2246
|
0.4627
|
0
|
0
|
0
|
0
|
0
|
0
|
5,456.4
|
0.0677
|
0
|
2016-03-05 21:57:53 |
1.2.2 |
NERD-ML |
AQUAINT |
Entity Recognition |
0.4105
|
0.3113
|
0.6025
|
0.3875
|
0.3262
|
0.5925
|
0.2812
|
0.2373
|
0.4511
|
0.3024
|
0.2246
|
0.4627
|
0
|
0
|
0
|
0
|
0
|
0
|
5,456.4
|
0.0677
|
0
|
2016-03-05 21:57:53 |
1.2.2 |
NERD-ML |
AQUAINT |
D2KB |
0.5924
|
0.7958
|
0.4718
|
0.5747
|
0.8024
|
0.4675
|
0.2812
|
0.2373
|
0.4511
|
0.3024
|
0.2246
|
0.4627
|
0
|
0
|
0
|
0
|
0
|
0
|
5,456.4
|
0.0677
|
0
|
2016-03-05 21:57:53 |
1.2.2 |
NERD-ML |
DBpediaSpotlight |
|
0.4814
|
0.5156
|
0.4515
|
0.4504
|
0.4711
|
0.4697
|
0.4504
|
0.4711
|
0.4697
|
0.4814
|
0.5156
|
0.4515
|
|
|
|
|
|
|
4,913.431
|
0.0436
|
0
|
2016-03-05 22:17:09 |
1.2.2 |
NERD-ML |
DBpediaSpotlight |
Entity Recognition |
0.6753
|
0.7232
|
0.6333
|
0.6376
|
0.6925
|
0.6455
|
0.4504
|
0.4711
|
0.4697
|
0.4814
|
0.5156
|
0.4515
|
|
|
|
|
|
|
4,913.431
|
0.0436
|
0
|
2016-03-05 22:17:09 |
1.2.2 |
NERD-ML |
DBpediaSpotlight |
D2KB |
0.5516
|
0.7989
|
0.4212
|
0.5297
|
0.6993
|
0.4562
|
0.4504
|
0.4711
|
0.4697
|
0.4814
|
0.5156
|
0.4515
|
|
|
|
|
|
|
4,913.431
|
0.0436
|
0
|
2016-03-05 22:17:09 |
1.2.2 |
NERD-ML |
IITB |
|
0.3855
|
0.4839
|
0.3204
|
0.3757
|
0.4741
|
0.3165
|
0.4884
|
0.4741
|
0.5178
|
0.5062
|
0.4839
|
0.5307
|
0
|
0
|
0
|
0
|
0
|
0
|
6,386.2115
|
0.0083
|
0
|
2016-03-06 21:50:03 |
1.2.2 |
NERD-ML |
IITB |
Entity Recognition |
0.6246
|
0.7612
|
0.5295
|
0.6208
|
0.7677
|
0.5399
|
0.4884
|
0.4741
|
0.5178
|
0.5062
|
0.4839
|
0.5307
|
0
|
0
|
0
|
0
|
0
|
0
|
6,386.2115
|
0.0083
|
0
|
2016-03-06 21:50:03 |
1.2.2 |
NERD-ML |
IITB |
D2KB |
0.4271
|
0.6889
|
0.3095
|
0.4148
|
0.6598
|
0.3052
|
0.4884
|
0.4741
|
0.5178
|
0.5062
|
0.4839
|
0.5307
|
0
|
0
|
0
|
0
|
0
|
0
|
6,386.2115
|
0.0083
|
0
|
2016-03-06 21:50:03 |
1.2.2 |
NERD-ML |
KORE50 |
|
0.2718
|
0.2727
|
0.2708
|
0.234
|
0.2652
|
0.23
|
0.234
|
0.2652
|
0.23
|
0.2718
|
0.2727
|
0.2708
|
|
|
|
|
|
|
5,335
|
0.0991
|
0
|
2016-03-06 05:34:57 |
1.2.2 |
NERD-ML |
KORE50 |
Entity Recognition |
0.7604
|
0.7041
|
0.8264
|
0.718
|
0.6879
|
0.8087
|
0.234
|
0.2652
|
0.23
|
0.2718
|
0.2727
|
0.2708
|
|
|
|
|
|
|
5,335
|
0.0991
|
0
|
2016-03-06 05:34:57 |
1.2.2 |
NERD-ML |
KORE50 |
D2KB |
0.3115
|
0.38
|
0.2639
|
0.2519
|
0.3163
|
0.2233
|
0.234
|
0.2652
|
0.23
|
0.2718
|
0.2727
|
0.2708
|
|
|
|
|
|
|
5,335
|
0.0991
|
0
|
2016-03-06 05:34:57 |
1.2.2 |
NERD-ML |
Microposts2014-Test |
|
0.2763
|
0.2154
|
0.3854
|
0.3208
|
0.3168
|
0.3568
|
0.3221
|
0.3177
|
0.3588
|
0.2772
|
0.2154
|
0.3888
|
0
|
0
|
0
|
0
|
0
|
0
|
4,888.4768
|
0.0819
|
0
|
2016-03-06 18:47:45 |
1.2.2 |
NERD-ML |
Microposts2014-Test |
Entity Recognition |
0.4063
|
0.3086
|
0.5947
|
0.4136
|
0.4045
|
0.4793
|
0.3221
|
0.3177
|
0.3588
|
0.2772
|
0.2154
|
0.3888
|
0
|
0
|
0
|
0
|
0
|
0
|
4,888.4768
|
0.0819
|
0
|
2016-03-06 18:47:45 |
1.2.2 |
NERD-ML |
Microposts2014-Test |
D2KB |
0.5178
|
0.7169
|
0.4053
|
0.6634
|
0.7057
|
0.6447
|
0.3221
|
0.3177
|
0.3588
|
0.2772
|
0.2154
|
0.3888
|
0
|
0
|
0
|
0
|
0
|
0
|
4,888.4768
|
0.0819
|
0
|
2016-03-06 18:47:45 |
1.2.2 |
NERD-ML |
Microposts2014-Train |
|
0.3231
|
0.299
|
0.3514
|
0.3226
|
0.3352
|
0.3465
|
0.3237
|
0.3357
|
0.3491
|
0.3243
|
0.2992
|
0.3541
|
0.988
|
0.988
|
0.988
|
0
|
0
|
0
|
4,871.6114
|
0.0893
|
1
|
2016-03-10 21:07:49 |
1.2.2 |
NERD-ML |
Microposts2014-Train |
Entity Recognition |
0.4826
|
0.409
|
0.5884
|
0.4257
|
0.4175
|
0.4961
|
0.3237
|
0.3357
|
0.3491
|
0.3243
|
0.2992
|
0.3541
|
0.988
|
0.988
|
0.988
|
0
|
0
|
0
|
4,871.6114
|
0.0893
|
0
|
2016-03-10 21:07:49 |
1.2.2 |
NERD-ML |
Microposts2014-Train |
D2KB |
0.5142
|
0.7152
|
0.4014
|
0.6258
|
0.6937
|
0.5952
|
0.3237
|
0.3357
|
0.3491
|
0.3243
|
0.2992
|
0.3541
|
0.988
|
0.988
|
0.988
|
0
|
0
|
0
|
4,871.6114
|
0.0893
|
0
|
2016-03-10 21:07:49 |
1.2.2 |
NERD-ML |
MSNBC |
|
0.4566
|
0.5116
|
0.4123
|
0.4536
|
0.5367
|
0.4416
|
0.4983
|
0.5367
|
0.5248
|
0.4976
|
0.5116
|
0.4843
|
0
|
0
|
0
|
0
|
0
|
0
|
6,324.3
|
0.2371
|
0
|
2016-03-06 09:05:57 |
1.2.2 |
NERD-ML |
MSNBC |
Entity Recognition |
0.632
|
0.6968
|
0.5783
|
0.6086
|
0.7037
|
0.6058
|
0.4983
|
0.5367
|
0.5248
|
0.4976
|
0.5116
|
0.4843
|
0
|
0
|
0
|
0
|
0
|
0
|
6,324.3
|
0.2371
|
0
|
2016-03-06 09:05:57 |
1.2.2 |
NERD-ML |
MSNBC |
D2KB |
0.5959
|
0.7636
|
0.4886
|
0.6171
|
0.8022
|
0.5183
|
0.4983
|
0.5367
|
0.5248
|
0.4976
|
0.5116
|
0.4843
|
0
|
0
|
0
|
0
|
0
|
0
|
6,324.3
|
0.2371
|
0
|
2016-03-06 09:05:57 |
1.2.2 |
NERD-ML |
N3-Reuters-128 |
|
0.2814
|
0.3503
|
0.2352
|
0.2566
|
0.3475
|
0.2496
|
0.3608
|
0.4178
|
0.3969
|
0.3421
|
0.3503
|
0.3344
|
0
|
0
|
0
|
0
|
0
|
0
|
9,974.9531
|
0.2883
|
0
|
2016-03-07 04:51:22 |
1.2.2 |
NERD-ML |
N3-Reuters-128 |
Entity Recognition |
0.484
|
0.5681
|
0.4216
|
0.4109
|
0.5342
|
0.4019
|
0.3608
|
0.4178
|
0.3969
|
0.3421
|
0.3503
|
0.3344
|
0
|
0
|
0
|
0
|
0
|
0
|
9,974.9531
|
0.2883
|
0
|
2016-03-07 04:51:22 |
1.2.2 |
NERD-ML |
N3-Reuters-128 |
D2KB |
0.4064
|
0.62
|
0.3023
|
0.3477
|
0.509
|
0.2857
|
0.3608
|
0.4178
|
0.3969
|
0.3421
|
0.3503
|
0.3344
|
0
|
0
|
0
|
0
|
0
|
0
|
9,974.9531
|
0.2883
|
0
|
2016-03-07 04:51:22 |
1.2.2 |
NERD-ML |
N3-RSS-500 |
|
0.2239
|
0.1989
|
0.256
|
0.2009
|
0.1917
|
0.256
|
0.2973
|
0.2657
|
0.405
|
0.284
|
0.1989
|
0.4961
|
0
|
0
|
0
|
0
|
0
|
0
|
4,890.776
|
0.1342
|
0
|
2016-03-07 02:40:40 |
1.2.2 |
NERD-ML |
N3-RSS-500 |
Entity Recognition |
0.3909
|
0.3467
|
0.448
|
0.3566
|
0.3395
|
0.448
|
0.2973
|
0.2657
|
0.405
|
0.284
|
0.1989
|
0.4961
|
0
|
0
|
0
|
0
|
0
|
0
|
4,890.776
|
0.1342
|
0
|
2016-03-07 02:40:40 |
1.2.2 |
NERD-ML |
N3-RSS-500 |
D2KB |
0.3725
|
0.6383
|
0.263
|
0.3017
|
0.379
|
0.263
|
0.2973
|
0.2657
|
0.405
|
0.284
|
0.1989
|
0.4961
|
0
|
0
|
0
|
0
|
0
|
0
|
4,890.776
|
0.1342
|
0
|
2016-03-07 02:40:40 |
1.2.2 |
NERD-ML |
OKE 2015 Task 1 evaluation dataset |
|
0.4878
|
0.5107
|
0.4669
|
0.4852
|
0.5302
|
0.4776
|
0.5469
|
0.5302
|
0.6227
|
0.5571
|
0.5107
|
0.6126
|
0
|
0
|
0
|
0
|
0
|
0
|
5,934.1584
|
0.1167
|
0
|
2016-03-10 13:18:47 |
1.2.2 |
NERD-ML |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.6794
|
0.6638
|
0.6958
|
0.68
|
0.695
|
0.7113
|
0.5469
|
0.5302
|
0.6227
|
0.5571
|
0.5107
|
0.6126
|
0
|
0
|
0
|
0
|
0
|
0
|
5,934.1584
|
0.1167
|
0
|
2016-03-10 13:18:47 |
1.2.2 |
NERD-ML |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5801
|
0.7826
|
0.4608
|
0.5711
|
0.7847
|
0.473
|
0.5469
|
0.5302
|
0.6227
|
0.5571
|
0.5107
|
0.6126
|
0
|
0
|
0
|
0
|
0
|
0
|
5,934.1584
|
0.1167
|
0
|
2016-03-10 13:18:47 |
1.2.2 |
NERD-ML |
OKE 2015 Task 1 gold standard sample |
|
0.6071
|
0.532
|
0.7067
|
0.5909
|
0.5439
|
0.6988
|
0.6091
|
0.5439
|
0.7512
|
0.6384
|
0.532
|
0.798
|
0
|
0
|
0
|
0
|
0
|
0
|
9,668.0947
|
0.0856
|
0
|
2016-03-07 05:48:17 |
1.2.2 |
NERD-ML |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.7702
|
0.6681
|
0.9091
|
0.77
|
0.7047
|
0.9144
|
0.6091
|
0.5439
|
0.7512
|
0.6384
|
0.532
|
0.798
|
0
|
0
|
0
|
0
|
0
|
0
|
9,668.0947
|
0.0856
|
0
|
2016-03-07 05:48:17 |
1.2.2 |
NERD-ML |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.7529
|
0.8519
|
0.6745
|
0.7259
|
0.82
|
0.6728
|
0.6091
|
0.5439
|
0.7512
|
0.6384
|
0.532
|
0.798
|
0
|
0
|
0
|
0
|
0
|
0
|
9,668.0947
|
0.0856
|
0
|
2016-03-07 05:48:17 |
1.2.2 |
NERD-ML |
Bengal Star 100 (uploaded) |
|
0.5839
|
0.6755
|
0.5142
|
0.4554
|
0.425
|
0.5014
|
0.4554
|
0.425
|
0.5014
|
0.5839
|
0.6755
|
0.5142
|
|
|
|
|
|
|
59,407.17
|
0.056
|
0
|
2016-03-09 18:13:38 |
1.2.2 |
NERD-ML |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.6874
|
0.7952
|
0.6053
|
0.53
|
0.4931
|
0.5875
|
0.4554
|
0.425
|
0.5014
|
0.5839
|
0.6755
|
0.5142
|
|
|
|
|
|
|
59,407.17
|
0.056
|
0
|
2016-03-09 18:13:38 |
1.2.2 |
NERD-ML |
Bengal Star 100 (uploaded) |
D2KB |
0.642
|
0.9957
|
0.4737
|
0.4897
|
0.5587
|
0.4592
|
0.4554
|
0.425
|
0.5014
|
0.5839
|
0.6755
|
0.5142
|
|
|
|
|
|
|
59,407.17
|
0.056
|
0
|
2016-03-09 18:13:38 |
1.2.2 |
NERD-ML |
Bengal Star Para 100 (uploaded) |
|
0.5984
|
0.6933
|
0.5263
|
0.4902
|
0.4692
|
0.5296
|
0.4902
|
0.4692
|
0.5296
|
0.5984
|
0.6933
|
0.5263
|
|
|
|
|
|
|
44,332.74
|
0.0607
|
0
|
2016-03-09 18:09:45 |
1.2.2 |
NERD-ML |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7112
|
0.824
|
0.6255
|
0.5815
|
0.556
|
0.63
|
0.4902
|
0.4692
|
0.5296
|
0.5984
|
0.6933
|
0.5263
|
|
|
|
|
|
|
44,332.74
|
0.0607
|
0
|
2016-03-09 18:09:45 |
1.2.2 |
NERD-ML |
Bengal Star Para 100 (uploaded) |
D2KB |
0.6476
|
0.9876
|
0.4818
|
0.5131
|
0.5927
|
0.4765
|
0.4902
|
0.4692
|
0.5296
|
0.5984
|
0.6933
|
0.5263
|
|
|
|
|
|
|
44,332.74
|
0.0607
|
0
|
2016-03-09 18:09:45 |
1.2.2 |
NERD-ML |
Bengal Sym 100 (uploaded) |
|
0.7037
|
0.6468
|
0.7715
|
0.6936
|
0.6632
|
0.753
|
0.6936
|
0.6632
|
0.753
|
0.7037
|
0.6468
|
0.7715
|
|
|
|
|
|
|
31,026.02
|
0.0536
|
0
|
2016-03-17 17:33:11 |
1.2.2 |
NERD-ML |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.8574
|
0.7881
|
0.9401
|
0.8476
|
0.802
|
0.9332
|
0.6936
|
0.6632
|
0.753
|
0.7037
|
0.6468
|
0.7715
|
|
|
|
|
|
|
31,026.02
|
0.0536
|
0
|
2016-03-17 17:33:11 |
1.2.2 |
NERD-ML |
Bengal Sym 100 (uploaded) |
D2KB |
0.8529
|
0.9901
|
0.7491
|
0.7779
|
0.921
|
0.7243
|
0.6936
|
0.6632
|
0.753
|
0.7037
|
0.6468
|
0.7715
|
|
|
|
|
|
|
31,026.02
|
0.0536
|
0
|
2016-03-17 17:33:11 |
1.2.2 |
NERD-ML |
Bengal Sym Para 100 (uploaded) |
|
0.7149
|
0.6688
|
0.7678
|
0.7047
|
0.6887
|
0.7545
|
0.7047
|
0.6887
|
0.7545
|
0.7149
|
0.6688
|
0.7678
|
|
|
|
|
|
|
29,847.36
|
0.0535
|
0
|
2016-03-17 17:41:06 |
1.2.2 |
NERD-ML |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.8649
|
0.8091
|
0.9288
|
0.8553
|
0.8293
|
0.9273
|
0.7047
|
0.6887
|
0.7545
|
0.7149
|
0.6688
|
0.7678
|
|
|
|
|
|
|
29,847.36
|
0.0535
|
0
|
2016-03-17 17:41:06 |
1.2.2 |
NERD-ML |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.8501
|
0.9925
|
0.7434
|
0.78
|
0.9243
|
0.7233
|
0.7047
|
0.6887
|
0.7545
|
0.7149
|
0.6688
|
0.7678
|
|
|
|
|
|
|
29,847.36
|
0.0535
|
0
|
2016-03-17 17:41:06 |
1.2.2 |
NERD-ML |
Bengal Path 100 (uploaded) |
|
0.6488
|
0.6384
|
0.6595
|
0.5908
|
0.5768
|
0.6364
|
0.5908
|
0.5768
|
0.6364
|
0.6488
|
0.6384
|
0.6595
|
|
|
|
|
|
|
55,759.86
|
0.0836
|
0
|
2016-03-09 18:00:28 |
1.2.2 |
NERD-ML |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.7943
|
0.7815
|
0.8074
|
0.7382
|
0.7124
|
0.8032
|
0.5908
|
0.5768
|
0.6364
|
0.6488
|
0.6384
|
0.6595
|
|
|
|
|
|
|
55,759.86
|
0.0836
|
0
|
2016-03-09 18:00:28 |
1.2.2 |
NERD-ML |
Bengal Path 100 (uploaded) |
D2KB |
0.7557
|
0.9905
|
0.6109
|
0.6539
|
0.7825
|
0.5905
|
0.5908
|
0.5768
|
0.6364
|
0.6488
|
0.6384
|
0.6595
|
|
|
|
|
|
|
55,759.86
|
0.0836
|
0
|
2016-03-09 18:00:28 |
1.2.2 |
NERD-ML |
Bengal Path Para 100 (uploaded) |
|
0.6168
|
0.6421
|
0.5934
|
0.538
|
0.5391
|
0.5668
|
0.538
|
0.5391
|
0.5668
|
0.6168
|
0.6421
|
0.5934
|
|
|
|
|
|
|
44,640.43
|
0.0495
|
0
|
2016-03-09 18:08:29 |
1.2.2 |
NERD-ML |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7644
|
0.7958
|
0.7354
|
0.6751
|
0.6673
|
0.7201
|
0.538
|
0.5391
|
0.5668
|
0.6168
|
0.6421
|
0.5934
|
|
|
|
|
|
|
44,640.43
|
0.0495
|
0
|
2016-03-09 18:08:29 |
1.2.2 |
NERD-ML |
Bengal Path Para 100 (uploaded) |
D2KB |
0.71
|
0.993
|
0.5525
|
0.5884
|
0.7175
|
0.5242
|
0.538
|
0.5391
|
0.5668
|
0.6168
|
0.6421
|
0.5934
|
|
|
|
|
|
|
44,640.43
|
0.0495
|
0
|
2016-03-09 18:08:29 |
1.2.2 |
NERD-ML |
Bengal Hybrid 100 (uploaded) |
|
0.7136
|
0.6624
|
0.7733
|
0.6918
|
0.6771
|
0.7361
|
0.6918
|
0.6771
|
0.7361
|
0.7136
|
0.6624
|
0.7733
|
|
|
|
|
|
|
20,627.56
|
0.0727
|
0
|
2016-03-11 14:29:42 |
1.2.2 |
NERD-ML |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.868
|
0.8058
|
0.9407
|
0.8686
|
0.8351
|
0.9437
|
0.6918
|
0.6771
|
0.7361
|
0.7136
|
0.6624
|
0.7733
|
|
|
|
|
|
|
20,627.56
|
0.0727
|
0
|
2016-03-11 14:29:42 |
1.2.2 |
NERD-ML |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.8463
|
0.9971
|
0.7352
|
0.7563
|
0.9087
|
0.6897
|
0.6918
|
0.6771
|
0.7361
|
0.7136
|
0.6624
|
0.7733
|
|
|
|
|
|
|
20,627.56
|
0.0727
|
0
|
2016-03-11 14:29:42 |
1.2.2 |
NERD-ML |
Bengal Hybrid Para 100 (uploaded) |
|
0.7104
|
0.6698
|
0.7564
|
0.6772
|
0.6694
|
0.7113
|
0.6772
|
0.6694
|
0.7113
|
0.7104
|
0.6698
|
0.7564
|
|
|
|
|
|
|
18,528.24
|
0.0727
|
0
|
2016-03-11 14:33:10 |
1.2.2 |
NERD-ML |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.8816
|
0.8311
|
0.9386
|
0.8751
|
0.8495
|
0.9394
|
0.6772
|
0.6694
|
0.7113
|
0.7104
|
0.6698
|
0.7564
|
|
|
|
|
|
|
18,528.24
|
0.0727
|
0
|
2016-03-11 14:33:10 |
1.2.2 |
NERD-ML |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.8358
|
0.9913
|
0.7225
|
0.7347
|
0.8926
|
0.6642
|
0.6772
|
0.6694
|
0.7113
|
0.7104
|
0.6698
|
0.7564
|
|
|
|
|
|
|
18,528.24
|
0.0727
|
0
|
2016-03-11 14:33:10 |
1.2.2 |
NERD-ML |
Bengal Summary 100 (uploaded) |
|
0.6403
|
0.5352
|
0.7968
|
0.5929
|
0.5328
|
0.721
|
0.5929
|
0.5328
|
0.721
|
0.6403
|
0.5352
|
0.7968
|
|
|
|
|
|
|
44,138.87
|
0.1036
|
0
|
2016-03-17 17:54:06 |
1.2.2 |
NERD-ML |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7321
|
0.6119
|
0.9111
|
0.7119
|
0.6326
|
0.8772
|
0.5929
|
0.5328
|
0.721
|
0.6403
|
0.5352
|
0.7968
|
|
|
|
|
|
|
44,138.87
|
0.1036
|
0
|
2016-03-17 17:54:06 |
1.2.2 |
NERD-ML |
Bengal Summary 100 (uploaded) |
D2KB |
0.8708
|
0.984
|
0.781
|
0.7222
|
0.7754
|
0.6931
|
0.5929
|
0.5328
|
0.721
|
0.6403
|
0.5352
|
0.7968
|
|
|
|
|
|
|
44,138.87
|
0.1036
|
0
|
2016-03-17 17:54:06 |
1.2.2 |
NERD-ML |
Bengal Summary Para 100 (uploaded) |
|
0.6186
|
0.5252
|
0.7524
|
0.5738
|
0.5266
|
0.6809
|
0.5738
|
0.5266
|
0.6809
|
0.6186
|
0.5252
|
0.7524
|
|
|
|
|
|
|
44,066.57
|
0.1371
|
0
|
2016-03-17 17:54:05 |
1.2.2 |
NERD-ML |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7348
|
0.6256
|
0.8903
|
0.7028
|
0.6362
|
0.8477
|
0.5738
|
0.5266
|
0.6809
|
0.6186
|
0.5252
|
0.7524
|
|
|
|
|
|
|
44,066.57
|
0.1371
|
0
|
2016-03-17 17:54:05 |
1.2.2 |
NERD-ML |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.8551
|
0.9798
|
0.7586
|
0.7123
|
0.7794
|
0.6789
|
0.5738
|
0.5266
|
0.6809
|
0.6186
|
0.5252
|
0.7524
|
|
|
|
|
|
|
44,066.57
|
0.1371
|
0
|
2016-03-17 17:54:05 |
1.2.2 |
TagMe 2 |
ACE2004 |
|
0.2315
|
0.166
|
0.3824
|
0.1956
|
0.1967
|
0.2319
|
0.2108
|
0.1967
|
0.2744
|
0.245
|
0.166
|
0.468
|
0
|
0
|
0
|
0
|
0
|
0
|
175.8772
|
0.3917
|
0
|
2016-03-05 03:59:31 |
1.2.2 |
TagMe 2 |
ACE2004 |
Entity Recognition |
0.2695
|
0.1873
|
0.4804
|
0.2279
|
0.2173
|
0.2838
|
0.2108
|
0.1967
|
0.2744
|
0.245
|
0.166
|
0.468
|
0
|
0
|
0
|
0
|
0
|
0
|
175.8772
|
0.3917
|
0
|
2016-03-05 03:59:31 |
1.2.2 |
TagMe 2 |
ACE2004 |
D2KB |
0.7097
|
0.8462
|
0.6111
|
0.8038
|
0.8879
|
0.7506
|
0.2108
|
0.1967
|
0.2744
|
0.245
|
0.166
|
0.468
|
0
|
0
|
0
|
0
|
0
|
0
|
175.8772
|
0.3917
|
0
|
2016-03-05 03:59:31 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Complete |
|
0.4238
|
0.4867
|
0.3753
|
0.3904
|
0.4704
|
0.3565
|
0.477
|
0.4712
|
0.5413
|
0.5195
|
0.4867
|
0.557
|
0
|
0
|
0
|
0
|
0
|
0
|
97.407
|
0.2118
|
0
|
2016-03-06 06:38:04 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Complete |
Entity Recognition |
0.6771
|
0.7439
|
0.6214
|
0.6296
|
0.7265
|
0.5936
|
0.477
|
0.4712
|
0.5413
|
0.5195
|
0.4867
|
0.557
|
0
|
0
|
0
|
0
|
0
|
0
|
97.407
|
0.2118
|
0
|
2016-03-06 06:38:04 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Complete |
D2KB |
0.5142
|
0.6503
|
0.4253
|
0.4817
|
0.6564
|
0.4049
|
0.477
|
0.4712
|
0.5413
|
0.5195
|
0.4867
|
0.557
|
0
|
0
|
0
|
0
|
0
|
0
|
97.407
|
0.2118
|
0
|
2016-03-06 06:38:04 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Test A |
|
0.4265
|
0.4998
|
0.372
|
0.3884
|
0.4733
|
0.3501
|
0.4701
|
0.4733
|
0.5161
|
0.5158
|
0.4998
|
0.5329
|
0
|
0
|
0
|
0
|
0
|
0
|
116.9213
|
0.2255
|
0
|
2016-03-05 15:18:05 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Test A |
Entity Recognition |
0.6752
|
0.7166
|
0.6383
|
0.6351
|
0.7
|
0.6172
|
0.4701
|
0.4733
|
0.5161
|
0.5158
|
0.4998
|
0.5329
|
0
|
0
|
0
|
0
|
0
|
0
|
116.9213
|
0.2255
|
0
|
2016-03-05 15:18:05 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Test A |
D2KB |
0.5178
|
0.6534
|
0.4288
|
0.4822
|
0.6433
|
0.4056
|
0.4701
|
0.4733
|
0.5161
|
0.5158
|
0.4998
|
0.5329
|
0
|
0
|
0
|
0
|
0
|
0
|
116.9213
|
0.2255
|
0
|
2016-03-05 15:18:05 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Test B |
|
0.4142
|
0.4542
|
0.3807
|
0.3982
|
0.4527
|
0.3759
|
0.4824
|
0.4527
|
0.5775
|
0.5097
|
0.4542
|
0.5807
|
0
|
0
|
0
|
0
|
0
|
0
|
74.8398
|
0.1939
|
0
|
2016-03-05 18:30:33 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Test B |
Entity Recognition |
0.699
|
0.7537
|
0.6517
|
0.65
|
0.722
|
0.623
|
0.4824
|
0.4527
|
0.5775
|
0.5097
|
0.4542
|
0.5807
|
0
|
0
|
0
|
0
|
0
|
0
|
74.8398
|
0.1939
|
0
|
2016-03-05 18:30:33 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Test B |
D2KB |
0.4939
|
0.6178
|
0.4113
|
0.4814
|
0.64
|
0.4044
|
0.4824
|
0.4527
|
0.5775
|
0.5097
|
0.4542
|
0.5807
|
0
|
0
|
0
|
0
|
0
|
0
|
74.8398
|
0.1939
|
0
|
2016-03-05 18:30:33 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Training |
|
0.4261
|
0.479
|
0.3837
|
0.3906
|
0.4621
|
0.3627
|
0.4769
|
0.4631
|
0.5534
|
0.5209
|
0.479
|
0.5709
|
0
|
0
|
0
|
0
|
0
|
0
|
79.4662
|
0.2001
|
0
|
2016-03-06 06:33:07 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Training |
Entity Recognition |
0.6731
|
0.7421
|
0.6159
|
0.6251
|
0.7287
|
0.5875
|
0.4769
|
0.4631
|
0.5534
|
0.5209
|
0.479
|
0.5709
|
0
|
0
|
0
|
0
|
0
|
0
|
79.4662
|
0.2001
|
0
|
2016-03-06 06:33:07 |
1.2.2 |
TagMe 2 |
AIDA/CoNLL-Training |
D2KB |
0.5186
|
0.6573
|
0.4282
|
0.4822
|
0.664
|
0.4055
|
0.4769
|
0.4631
|
0.5534
|
0.5209
|
0.479
|
0.5709
|
0
|
0
|
0
|
0
|
0
|
0
|
79.4662
|
0.2001
|
0
|
2016-03-06 06:33:07 |
1.2.2 |
TagMe 2 |
AQUAINT |
|
0.4531
|
0.4226
|
0.4883
|
0.4266
|
0.4101
|
0.4655
|
0.4373
|
0.4101
|
0.4971
|
0.4662
|
0.4226
|
0.5198
|
0
|
0
|
0
|
0
|
0
|
0
|
102.28
|
0.2083
|
0
|
2016-03-05 22:52:48 |
1.2.2 |
TagMe 2 |
AQUAINT |
Entity Recognition |
0.5653
|
0.5005
|
0.6492
|
0.5426
|
0.4906
|
0.6324
|
0.4373
|
0.4101
|
0.4971
|
0.4662
|
0.4226
|
0.5198
|
0
|
0
|
0
|
0
|
0
|
0
|
102.28
|
0.2083
|
0
|
2016-03-05 22:52:48 |
1.2.2 |
TagMe 2 |
AQUAINT |
D2KB |
0.7397
|
0.8279
|
0.6685
|
0.7252
|
0.8275
|
0.6503
|
0.4373
|
0.4101
|
0.4971
|
0.4662
|
0.4226
|
0.5198
|
0
|
0
|
0
|
0
|
0
|
0
|
102.28
|
0.2083
|
0
|
2016-03-05 22:52:48 |
1.2.2 |
TagMe 2 |
DBpediaSpotlight |
|
0.5132
|
0.4972
|
0.5303
|
0.4405
|
0.4443
|
0.5067
|
0.4405
|
0.4443
|
0.5067
|
0.5132
|
0.4972
|
0.5303
|
|
|
|
|
|
|
47.1034
|
0.0774
|
0
|
2016-03-05 22:25:47 |
1.2.2 |
TagMe 2 |
DBpediaSpotlight |
Entity Recognition |
0.6657
|
0.6449
|
0.6879
|
0.5954
|
0.6094
|
0.6733
|
0.4405
|
0.4443
|
0.5067
|
0.5132
|
0.4972
|
0.5303
|
|
|
|
|
|
|
47.1034
|
0.0774
|
0
|
2016-03-05 22:25:47 |
1.2.2 |
TagMe 2 |
DBpediaSpotlight |
D2KB |
0.6678
|
0.7782
|
0.5848
|
0.6496
|
0.743
|
0.596
|
0.4405
|
0.4443
|
0.5067
|
0.5132
|
0.4972
|
0.5303
|
|
|
|
|
|
|
47.1034
|
0.0774
|
0
|
2016-03-05 22:25:47 |
1.2.2 |
TagMe 2 |
IITB |
|
0.3348
|
0.4013
|
0.2873
|
0.3235
|
0.3976
|
0.2783
|
0.4197
|
0.3976
|
0.4576
|
0.4354
|
0.4013
|
0.4759
|
0
|
0
|
0
|
0
|
0
|
0
|
276.6154
|
0.0807
|
0
|
2016-03-07 01:19:41 |
1.2.2 |
TagMe 2 |
IITB |
Entity Recognition |
0.6496
|
0.5852
|
0.7301
|
0.6449
|
0.5945
|
0.7319
|
0.4197
|
0.3976
|
0.4576
|
0.4354
|
0.4013
|
0.4759
|
0
|
0
|
0
|
0
|
0
|
0
|
276.6154
|
0.0807
|
0
|
2016-03-07 01:19:41 |
1.2.2 |
TagMe 2 |
IITB |
D2KB |
0.3887
|
0.5685
|
0.2953
|
0.3756
|
0.5522
|
0.2862
|
0.4197
|
0.3976
|
0.4576
|
0.4354
|
0.4013
|
0.4759
|
0
|
0
|
0
|
0
|
0
|
0
|
276.6154
|
0.0807
|
0
|
2016-03-07 01:19:41 |
1.2.2 |
TagMe 2 |
KORE50 |
|
0.5132
|
0.4875
|
0.5417
|
0.4596
|
0.4538
|
0.5033
|
0.4596
|
0.4538
|
0.5033
|
0.5132
|
0.4875
|
0.5417
|
|
|
|
|
|
|
42.9
|
0.1289
|
0
|
2016-03-06 05:45:23 |
1.2.2 |
TagMe 2 |
KORE50 |
Entity Recognition |
0.7344
|
0.6957
|
0.7778
|
0.6864
|
0.686
|
0.7567
|
0.4596
|
0.4538
|
0.5033
|
0.5132
|
0.4875
|
0.5417
|
|
|
|
|
|
|
42.9
|
0.1289
|
0
|
2016-03-06 05:45:23 |
1.2.2 |
TagMe 2 |
KORE50 |
D2KB |
0.5977
|
0.6667
|
0.5417
|
0.5368
|
0.5717
|
0.5167
|
0.4596
|
0.4538
|
0.5033
|
0.5132
|
0.4875
|
0.5417
|
|
|
|
|
|
|
42.9
|
0.1289
|
0
|
2016-03-06 05:45:23 |
1.2.2 |
TagMe 2 |
Microposts2014-Test |
|
0.2837
|
0.2328
|
0.3631
|
0.4152
|
0.4261
|
0.4363
|
0.4157
|
0.4261
|
0.4375
|
0.2846
|
0.2328
|
0.3663
|
0
|
0
|
0
|
0
|
0
|
0
|
41.2104
|
0.172
|
0
|
2016-03-06 22:05:04 |
1.2.2 |
TagMe 2 |
Microposts2014-Test |
Entity Recognition |
0.3594
|
0.2871
|
0.4801
|
0.4701
|
0.4793
|
0.5041
|
0.4157
|
0.4261
|
0.4375
|
0.2846
|
0.2328
|
0.3663
|
0
|
0
|
0
|
0
|
0
|
0
|
41.2104
|
0.172
|
0
|
2016-03-06 22:05:04 |
1.2.2 |
TagMe 2 |
Microposts2014-Test |
D2KB |
0.5732
|
0.7076
|
0.4817
|
0.708
|
0.7484
|
0.6892
|
0.4157
|
0.4261
|
0.4375
|
0.2846
|
0.2328
|
0.3663
|
0
|
0
|
0
|
0
|
0
|
0
|
41.2104
|
0.172
|
0
|
2016-03-06 22:05:04 |
1.2.2 |
TagMe 2 |
Microposts2014-Train |
|
0.3875
|
0.3698
|
0.4071
|
0.4371
|
0.4495
|
0.4649
|
0.4383
|
0.4499
|
0.4672
|
0.389
|
0.3698
|
0.4102
|
0
|
0
|
0
|
0
|
0
|
0
|
41.4103
|
0.1883
|
0
|
2016-03-07 08:40:40 |
1.2.2 |
TagMe 2 |
Microposts2014-Train |
Entity Recognition |
0.4916
|
0.4369
|
0.562
|
0.4913
|
0.4948
|
0.5467
|
0.4383
|
0.4499
|
0.4672
|
0.389
|
0.3698
|
0.4102
|
0
|
0
|
0
|
0
|
0
|
0
|
41.4103
|
0.1883
|
0
|
2016-03-07 08:40:40 |
1.2.2 |
TagMe 2 |
Microposts2014-Train |
D2KB |
0.6179
|
0.7593
|
0.5209
|
0.7069
|
0.7651
|
0.6782
|
0.4383
|
0.4499
|
0.4672
|
0.389
|
0.3698
|
0.4102
|
0
|
0
|
0
|
0
|
0
|
0
|
41.4103
|
0.1883
|
0
|
2016-03-07 08:40:40 |
1.2.2 |
TagMe 2 |
MSNBC |
|
0.4677
|
0.4519
|
0.4846
|
0.4607
|
0.4694
|
0.5026
|
0.498
|
0.4694
|
0.6077
|
0.5038
|
0.4519
|
0.5692
|
0
|
0
|
0
|
0
|
0
|
0
|
261.55
|
0.1841
|
0
|
2016-03-06 10:14:10 |
1.2.2 |
TagMe 2 |
MSNBC |
Entity Recognition |
0.5803
|
0.5621
|
0.5997
|
0.5753
|
0.5888
|
0.6231
|
0.498
|
0.4694
|
0.6077
|
0.5038
|
0.4519
|
0.5692
|
0
|
0
|
0
|
0
|
0
|
0
|
261.55
|
0.1841
|
0
|
2016-03-06 10:14:10 |
1.2.2 |
TagMe 2 |
MSNBC |
D2KB |
0.6747
|
0.8496
|
0.5596
|
0.6766
|
0.8479
|
0.5689
|
0.498
|
0.4694
|
0.6077
|
0.5038
|
0.4519
|
0.5692
|
0
|
0
|
0
|
0
|
0
|
0
|
261.55
|
0.1841
|
0
|
2016-03-06 10:14:10 |
1.2.2 |
TagMe 2 |
N3-Reuters-128 |
|
0.3493
|
0.4226
|
0.2977
|
0.3116
|
0.371
|
0.314
|
0.3843
|
0.4022
|
0.4213
|
0.4229
|
0.4226
|
0.4233
|
0
|
0
|
0
|
0
|
0
|
0
|
70.7266
|
0.2638
|
0
|
2016-03-07 05:04:48 |
1.2.2 |
TagMe 2 |
N3-Reuters-128 |
Entity Recognition |
0.4798
|
0.5381
|
0.433
|
0.43
|
0.5061
|
0.451
|
0.3843
|
0.4022
|
0.4213
|
0.4229
|
0.4226
|
0.4233
|
0
|
0
|
0
|
0
|
0
|
0
|
70.7266
|
0.2638
|
0
|
2016-03-07 05:04:48 |
1.2.2 |
TagMe 2 |
N3-Reuters-128 |
D2KB |
0.4516
|
0.7225
|
0.3284
|
0.3834
|
0.5557
|
0.3132
|
0.3843
|
0.4022
|
0.4213
|
0.4229
|
0.4226
|
0.4233
|
0
|
0
|
0
|
0
|
0
|
0
|
70.7266
|
0.2638
|
0
|
2016-03-07 05:04:48 |
1.2.2 |
TagMe 2 |
N3-RSS-500 |
|
0.3297
|
0.4095
|
0.276
|
0.2697
|
0.3075
|
0.276
|
0.4899
|
0.4875
|
0.538
|
0.4639
|
0.4095
|
0.5349
|
0
|
0
|
0
|
0
|
0
|
0
|
52.242
|
0.3759
|
0
|
2016-03-07 03:07:05 |
1.2.2 |
TagMe 2 |
N3-RSS-500 |
Entity Recognition |
0.4688
|
0.4203
|
0.53
|
0.4461
|
0.4575
|
0.53
|
0.4899
|
0.4875
|
0.538
|
0.4639
|
0.4095
|
0.5349
|
0
|
0
|
0
|
0
|
0
|
0
|
52.242
|
0.3759
|
0
|
2016-03-07 03:07:05 |
1.2.2 |
TagMe 2 |
N3-RSS-500 |
D2KB |
0.4727
|
0.7277
|
0.35
|
0.393
|
0.479
|
0.35
|
0.4899
|
0.4875
|
0.538
|
0.4639
|
0.4095
|
0.5349
|
0
|
0
|
0
|
0
|
0
|
0
|
52.242
|
0.3759
|
0
|
2016-03-07 03:07:05 |
1.2.2 |
TagMe 2 |
OKE 2015 Task 1 evaluation dataset |
|
0.4837
|
0.5421
|
0.4367
|
0.4813
|
0.5593
|
0.454
|
0.5442
|
0.5593
|
0.5869
|
0.5572
|
0.5421
|
0.5731
|
0
|
0
|
0
|
0
|
0
|
0
|
41.9208
|
0.1491
|
0
|
2016-03-07 05:25:07 |
1.2.2 |
TagMe 2 |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.643
|
0.6313
|
0.6551
|
0.6516
|
0.665
|
0.6832
|
0.5442
|
0.5593
|
0.5869
|
0.5572
|
0.5421
|
0.5731
|
0
|
0
|
0
|
0
|
0
|
0
|
41.9208
|
0.1491
|
0
|
2016-03-07 05:25:07 |
1.2.2 |
TagMe 2 |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5673
|
0.7755
|
0.4473
|
0.5664
|
0.7781
|
0.4684
|
0.5442
|
0.5593
|
0.5869
|
0.5572
|
0.5421
|
0.5731
|
0
|
0
|
0
|
0
|
0
|
0
|
41.9208
|
0.1491
|
0
|
2016-03-07 05:25:07 |
1.2.2 |
TagMe 2 |
OKE 2015 Task 1 gold standard sample |
|
0.6958
|
0.6694
|
0.7243
|
0.6849
|
0.6887
|
0.7478
|
0.7409
|
0.7097
|
0.8396
|
0.7362
|
0.6694
|
0.8179
|
0
|
0
|
0
|
0
|
0
|
0
|
43.5895
|
0.1609
|
0
|
2016-03-07 05:39:16 |
1.2.2 |
TagMe 2 |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.7623
|
0.7324
|
0.7947
|
0.7494
|
0.7576
|
0.8116
|
0.7409
|
0.7097
|
0.8396
|
0.7362
|
0.6694
|
0.8179
|
0
|
0
|
0
|
0
|
0
|
0
|
43.5895
|
0.1609
|
0
|
2016-03-07 05:39:16 |
1.2.2 |
TagMe 2 |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.8298
|
0.9275
|
0.7507
|
0.8125
|
0.8913
|
0.7648
|
0.7409
|
0.7097
|
0.8396
|
0.7362
|
0.6694
|
0.8179
|
0
|
0
|
0
|
0
|
0
|
0
|
43.5895
|
0.1609
|
0
|
2016-03-07 05:39:16 |
1.2.2 |
TagMe 2 |
Bengal Star 100 (uploaded) |
|
0.7071
|
0.8347
|
0.6134
|
0.729
|
0.8581
|
0.6658
|
0.729
|
0.8581
|
0.6658
|
0.7071
|
0.8347
|
0.6134
|
|
|
|
|
|
|
35.43
|
0.2267
|
0
|
2016-03-09 16:34:49 |
1.2.2 |
TagMe 2 |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.7305
|
0.8623
|
0.6336
|
0.7604
|
0.8945
|
0.6952
|
0.729
|
0.8581
|
0.6658
|
0.7071
|
0.8347
|
0.6134
|
|
|
|
|
|
|
35.43
|
0.2267
|
0
|
2016-03-09 16:34:49 |
1.2.2 |
TagMe 2 |
Bengal Star 100 (uploaded) |
D2KB |
0.7547
|
0.9967
|
0.6073
|
0.7728
|
0.9875
|
0.6625
|
0.729
|
0.8581
|
0.6658
|
0.7071
|
0.8347
|
0.6134
|
|
|
|
|
|
|
35.43
|
0.2267
|
0
|
2016-03-09 16:34:49 |
1.2.2 |
TagMe 2 |
Bengal Star Para 100 (uploaded) |
|
0.7113
|
0.8464
|
0.6134
|
0.7363
|
0.8745
|
0.6658
|
0.7363
|
0.8745
|
0.6658
|
0.7113
|
0.8464
|
0.6134
|
|
|
|
|
|
|
35.23
|
0.2267
|
0
|
2016-03-09 16:55:53 |
1.2.2 |
TagMe 2 |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7371
|
0.8771
|
0.6356
|
0.7694
|
0.9126
|
0.6968
|
0.7363
|
0.8745
|
0.6658
|
0.7113
|
0.8464
|
0.6134
|
|
|
|
|
|
|
35.23
|
0.2267
|
0
|
2016-03-09 16:55:53 |
1.2.2 |
TagMe 2 |
Bengal Star Para 100 (uploaded) |
D2KB |
0.7531
|
0.9967
|
0.6053
|
0.7662
|
0.9775
|
0.6575
|
0.7363
|
0.8745
|
0.6658
|
0.7113
|
0.8464
|
0.6134
|
|
|
|
|
|
|
35.23
|
0.2267
|
0
|
2016-03-09 16:55:53 |
1.2.2 |
TagMe 2 |
Bengal Sym 100 (uploaded) |
|
0.7148
|
0.9446
|
0.5749
|
0.7374
|
0.9369
|
0.6399
|
0.7374
|
0.9369
|
0.6399
|
0.7148
|
0.9446
|
0.5749
|
|
|
|
|
|
|
36.88
|
0.4667
|
0
|
2016-03-17 16:51:45 |
1.2.2 |
TagMe 2 |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7311
|
0.9662
|
0.588
|
0.7512
|
0.9634
|
0.6504
|
0.7374
|
0.9369
|
0.6399
|
0.7148
|
0.9446
|
0.5749
|
|
|
|
|
|
|
36.88
|
0.4667
|
0
|
2016-03-17 16:51:45 |
1.2.2 |
TagMe 2 |
Bengal Sym 100 (uploaded) |
D2KB |
0.7558
|
0.9969
|
0.6086
|
0.7821
|
0.99
|
0.6719
|
0.7374
|
0.9369
|
0.6399
|
0.7148
|
0.9446
|
0.5749
|
|
|
|
|
|
|
36.88
|
0.4667
|
0
|
2016-03-17 16:51:45 |
1.2.2 |
TagMe 2 |
Bengal Sym Para 100 (uploaded) |
|
0.7121
|
0.8617
|
0.6067
|
0.7482
|
0.8883
|
0.6747
|
0.7482
|
0.8883
|
0.6747
|
0.7121
|
0.8617
|
0.6067
|
|
|
|
|
|
|
32.33
|
0.2515
|
0
|
2016-03-17 16:52:08 |
1.2.2 |
TagMe 2 |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7297
|
0.883
|
0.6217
|
0.7645
|
0.9152
|
0.6883
|
0.7482
|
0.8883
|
0.6747
|
0.7121
|
0.8617
|
0.6067
|
|
|
|
|
|
|
32.33
|
0.2515
|
0
|
2016-03-17 16:52:08 |
1.2.2 |
TagMe 2 |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.7456
|
0.9969
|
0.5955
|
0.7726
|
0.99
|
0.6592
|
0.7482
|
0.8883
|
0.6747
|
0.7121
|
0.8617
|
0.6067
|
|
|
|
|
|
|
32.33
|
0.2515
|
0
|
2016-03-17 16:52:08 |
1.2.2 |
TagMe 2 |
Bengal Path 100 (uploaded) |
|
0.6925
|
0.9167
|
0.5564
|
0.7342
|
0.9406
|
0.634
|
0.7342
|
0.9406
|
0.634
|
0.6925
|
0.9167
|
0.5564
|
|
|
|
|
|
|
42.32
|
0.4706
|
0
|
2016-03-09 16:43:28 |
1.2.2 |
TagMe 2 |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.7172
|
0.9401
|
0.5798
|
0.7612
|
0.9649
|
0.6615
|
0.7342
|
0.9406
|
0.634
|
0.6925
|
0.9167
|
0.5564
|
|
|
|
|
|
|
42.32
|
0.4706
|
0
|
2016-03-09 16:43:28 |
1.2.2 |
TagMe 2 |
Bengal Path 100 (uploaded) |
D2KB |
0.7309
|
1
|
0.5759
|
0.7673
|
1
|
0.649
|
0.7342
|
0.9406
|
0.634
|
0.6925
|
0.9167
|
0.5564
|
|
|
|
|
|
|
42.32
|
0.4706
|
0
|
2016-03-09 16:43:28 |
1.2.2 |
TagMe 2 |
Bengal Path Para 100 (uploaded) |
|
0.6901
|
0.9135
|
0.5545
|
0.7313
|
0.9386
|
0.6323
|
0.7313
|
0.9386
|
0.6323
|
0.6901
|
0.9135
|
0.5545
|
|
|
|
|
|
|
38.68
|
0.4661
|
0
|
2016-03-09 16:54:37 |
1.2.2 |
TagMe 2 |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.7225
|
0.8799
|
0.6128
|
0.7707
|
0.9189
|
0.7017
|
0.7313
|
0.9386
|
0.6323
|
0.6901
|
0.9135
|
0.5545
|
|
|
|
|
|
|
38.68
|
0.4661
|
0
|
2016-03-09 16:54:37 |
1.2.2 |
TagMe 2 |
Bengal Path Para 100 (uploaded) |
D2KB |
0.7309
|
1
|
0.5759
|
0.7673
|
1
|
0.649
|
0.7313
|
0.9386
|
0.6323
|
0.6901
|
0.9135
|
0.5545
|
|
|
|
|
|
|
38.68
|
0.4661
|
0
|
2016-03-09 16:54:37 |
1.2.2 |
TagMe 2 |
Bengal Hybrid 100 (uploaded) |
|
0.6986
|
0.8328
|
0.6017
|
0.7449
|
0.8834
|
0.688
|
0.7449
|
0.8834
|
0.688
|
0.6986
|
0.8328
|
0.6017
|
|
|
|
|
|
|
44.2
|
0.1814
|
0
|
2016-03-11 14:04:37 |
1.2.2 |
TagMe 2 |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.7224
|
0.8442
|
0.6314
|
0.7641
|
0.8895
|
0.7142
|
0.7449
|
0.8834
|
0.688
|
0.6986
|
0.8328
|
0.6017
|
|
|
|
|
|
|
44.2
|
0.1814
|
0
|
2016-03-11 14:04:37 |
1.2.2 |
TagMe 2 |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.7363
|
1
|
0.5826
|
0.7739
|
0.99
|
0.6703
|
0.7449
|
0.8834
|
0.688
|
0.6986
|
0.8328
|
0.6017
|
|
|
|
|
|
|
44.2
|
0.1814
|
0
|
2016-03-11 14:04:37 |
1.2.2 |
TagMe 2 |
Bengal Hybrid Para 100 (uploaded) |
|
0.7026
|
0.8615
|
0.5932
|
0.7497
|
0.9047
|
0.6793
|
0.7497
|
0.9047
|
0.6793
|
0.7026
|
0.8615
|
0.5932
|
|
|
|
|
|
|
38.4
|
0.1889
|
0
|
2016-03-11 14:04:48 |
1.2.2 |
TagMe 2 |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.7291
|
0.8706
|
0.6271
|
0.7695
|
0.908
|
0.71
|
0.7497
|
0.9047
|
0.6793
|
0.7026
|
0.8615
|
0.5932
|
|
|
|
|
|
|
38.4
|
0.1889
|
0
|
2016-03-11 14:04:48 |
1.2.2 |
TagMe 2 |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.7329
|
1
|
0.5784
|
0.7697
|
0.99
|
0.6643
|
0.7497
|
0.9047
|
0.6793
|
0.7026
|
0.8615
|
0.5932
|
|
|
|
|
|
|
38.4
|
0.1889
|
0
|
2016-03-11 14:04:48 |
1.2.2 |
TagMe 2 |
Bengal Summary 100 (uploaded) |
|
0.6918
|
0.7153
|
0.6698
|
0.7693
|
0.826
|
0.7543
|
0.7693
|
0.826
|
0.7543
|
0.6918
|
0.7153
|
0.6698
|
|
|
|
|
|
|
34.38
|
0.3185
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
TagMe 2 |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7438
|
0.7759
|
0.7143
|
0.8109
|
0.8744
|
0.7903
|
0.7693
|
0.826
|
0.7543
|
0.6918
|
0.7153
|
0.6698
|
|
|
|
|
|
|
34.38
|
0.3185
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
TagMe 2 |
Bengal Summary 100 (uploaded) |
D2KB |
0.833
|
0.987
|
0.7206
|
0.8411
|
0.9533
|
0.7825
|
0.7693
|
0.826
|
0.7543
|
0.6918
|
0.7153
|
0.6698
|
|
|
|
|
|
|
34.38
|
0.3185
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
TagMe 2 |
Bengal Summary Para 100 (uploaded) |
|
0.6917
|
0.7211
|
0.6646
|
0.7715
|
0.8303
|
0.7538
|
0.7715
|
0.8303
|
0.7538
|
0.6917
|
0.7211
|
0.6646
|
|
|
|
|
|
|
32.39
|
0.3313
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
TagMe 2 |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7439
|
0.7755
|
0.7147
|
0.8155
|
0.8776
|
0.7957
|
0.7715
|
0.8303
|
0.7538
|
0.6917
|
0.7211
|
0.6646
|
|
|
|
|
|
|
32.39
|
0.3313
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
TagMe 2 |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.8318
|
0.9829
|
0.721
|
0.8429
|
0.9519
|
0.7853
|
0.7715
|
0.8303
|
0.7538
|
0.6917
|
0.7211
|
0.6646
|
|
|
|
|
|
|
32.39
|
0.3313
|
0
|
2016-03-17 16:40:53 |
1.2.2 |
WAT |
ACE2004 |
|
0.2424
|
0.1754
|
0.3922
|
0.1995
|
0.2055
|
0.2435
|
0.2165
|
0.2055
|
0.2899
|
0.257
|
0.1754
|
0.48
|
0
|
0
|
0
|
0
|
0
|
0
|
1,830.9298
|
0.3601
|
0
|
2016-03-04 21:48:43 |
1.2.2 |
WAT |
ACE2004 |
Entity Recognition |
0.2794
|
0.2017
|
0.4542
|
0.2296
|
0.2309
|
0.2905
|
0.2165
|
0.2055
|
0.2899
|
0.257
|
0.1754
|
0.48
|
0
|
0
|
0
|
0
|
0
|
0
|
1,830.9298
|
0.3601
|
0
|
2016-03-04 21:48:43 |
1.2.2 |
WAT |
ACE2004 |
D2KB |
0.6706
|
0.8535
|
0.5523
|
0.7594
|
0.8738
|
0.6933
|
0.2165
|
0.2055
|
0.2899
|
0.257
|
0.1754
|
0.48
|
0
|
0
|
0
|
0
|
0
|
0
|
1,830.9298
|
0.3601
|
0
|
2016-03-04 21:48:43 |
1.2.2 |
WAT |
AIDA/CoNLL-Complete |
|
0.5615
|
0.6403
|
0.4999
|
0.5392
|
0.6237
|
0.4954
|
0.6575
|
0.6258
|
0.7483
|
0.6874
|
0.6403
|
0.7418
|
0
|
0
|
0
|
0
|
0
|
0
|
666.7924
|
0.1425
|
1
|
2016-03-05 18:03:35 |
1.2.2 |
WAT |
AIDA/CoNLL-Complete |
Entity Recognition |
0.8961
|
0.9408
|
0.8555
|
0.8803
|
0.9329
|
0.864
|
0.6575
|
0.6258
|
0.7483
|
0.6874
|
0.6403
|
0.7418
|
0
|
0
|
0
|
0
|
0
|
0
|
666.7924
|
0.1425
|
0
|
2016-03-05 18:03:35 |
1.2.2 |
WAT |
AIDA/CoNLL-Complete |
D2KB |
0.5845
|
0.6875
|
0.5084
|
0.5598
|
0.6811
|
0.5019
|
0.6575
|
0.6258
|
0.7483
|
0.6874
|
0.6403
|
0.7418
|
0
|
0
|
0
|
0
|
0
|
0
|
666.7924
|
0.1425
|
0
|
2016-03-05 18:03:35 |
1.2.2 |
WAT |
AIDA/CoNLL-Test A |
|
0.5607
|
0.6408
|
0.4984
|
0.5303
|
0.6147
|
0.4886
|
0.6431
|
0.6147
|
0.7235
|
0.6754
|
0.6408
|
0.714
|
0
|
0
|
0
|
0
|
0
|
0
|
798.2791
|
0.1425
|
1
|
2016-03-05 07:39:07 |
1.2.2 |
WAT |
AIDA/CoNLL-Test A |
Entity Recognition |
0.889
|
0.9399
|
0.8433
|
0.8763
|
0.9251
|
0.8633
|
0.6431
|
0.6147
|
0.7235
|
0.6754
|
0.6408
|
0.714
|
0
|
0
|
0
|
0
|
0
|
0
|
798.2791
|
0.1425
|
0
|
2016-03-05 07:39:07 |
1.2.2 |
WAT |
AIDA/CoNLL-Test A |
D2KB |
0.5846
|
0.691
|
0.5065
|
0.5571
|
0.6795
|
0.4991
|
0.6431
|
0.6147
|
0.7235
|
0.6754
|
0.6408
|
0.714
|
0
|
0
|
0
|
0
|
0
|
0
|
798.2791
|
0.1425
|
0
|
2016-03-05 07:39:07 |
1.2.2 |
WAT |
AIDA/CoNLL-Test B |
|
0.531
|
0.6148
|
0.4672
|
0.5251
|
0.6101
|
0.4751
|
0.6412
|
0.6144
|
0.7194
|
0.6601
|
0.6148
|
0.7127
|
0
|
0
|
0
|
0
|
0
|
0
|
678.2913
|
0.1512
|
1
|
2016-03-05 13:35:23 |
1.2.2 |
WAT |
AIDA/CoNLL-Test B |
Entity Recognition |
0.881
|
0.9395
|
0.8294
|
0.8673
|
0.9289
|
0.8354
|
0.6412
|
0.6144
|
0.7194
|
0.6601
|
0.6148
|
0.7127
|
0
|
0
|
0
|
0
|
0
|
0
|
678.2913
|
0.1512
|
0
|
2016-03-05 13:35:23 |
1.2.2 |
WAT |
AIDA/CoNLL-Test B |
D2KB |
0.5525
|
0.6588
|
0.4758
|
0.5483
|
0.6631
|
0.4839
|
0.6412
|
0.6144
|
0.7194
|
0.6601
|
0.6148
|
0.7127
|
0
|
0
|
0
|
0
|
0
|
0
|
678.2913
|
0.1512
|
0
|
2016-03-05 13:35:23 |
1.2.2 |
WAT |
AIDA/CoNLL-Training |
|
0.5682
|
0.6391
|
0.5115
|
0.5431
|
0.6184
|
0.5049
|
0.6592
|
0.6194
|
0.7658
|
0.6947
|
0.6391
|
0.761
|
0
|
0
|
0
|
0
|
0
|
0
|
616.4138
|
0.1279
|
1
|
2016-03-05 18:15:30 |
1.2.2 |
WAT |
AIDA/CoNLL-Training |
Entity Recognition |
0.8995
|
0.9419
|
0.8607
|
0.8825
|
0.9342
|
0.8686
|
0.6592
|
0.6194
|
0.7658
|
0.6947
|
0.6391
|
0.761
|
0
|
0
|
0
|
0
|
0
|
0
|
616.4138
|
0.1279
|
0
|
2016-03-05 18:15:30 |
1.2.2 |
WAT |
AIDA/CoNLL-Training |
D2KB |
0.5909
|
0.6957
|
0.5135
|
0.5619
|
0.6869
|
0.5048
|
0.6592
|
0.6194
|
0.7658
|
0.6947
|
0.6391
|
0.761
|
0
|
0
|
0
|
0
|
0
|
0
|
616.4138
|
0.1279
|
0
|
2016-03-05 18:15:30 |
1.2.2 |
WAT |
AQUAINT |
|
0.3779
|
0.3892
|
0.3673
|
0.3582
|
0.416
|
0.3589
|
0.3724
|
0.416
|
0.3809
|
0.3901
|
0.3892
|
0.3909
|
0
|
0
|
0
|
0
|
0
|
0
|
567.6
|
0.2148
|
0
|
2016-03-05 21:50:51 |
1.2.2 |
WAT |
AQUAINT |
Entity Recognition |
0.4573
|
0.4696
|
0.4457
|
0.4323
|
0.4943
|
0.4373
|
0.3724
|
0.416
|
0.3809
|
0.3901
|
0.3892
|
0.3909
|
0
|
0
|
0
|
0
|
0
|
0
|
567.6
|
0.2148
|
0
|
2016-03-05 21:50:51 |
1.2.2 |
WAT |
AQUAINT |
D2KB |
0.5165
|
0.8779
|
0.3659
|
0.4863
|
0.8639
|
0.3571
|
0.3724
|
0.416
|
0.3809
|
0.3901
|
0.3892
|
0.3909
|
0
|
0
|
0
|
0
|
0
|
0
|
567.6
|
0.2148
|
0
|
2016-03-05 21:50:51 |
1.2.2 |
WAT |
DBpediaSpotlight |
|
0.19
|
0.5429
|
0.1152
|
0.1566
|
0.3046
|
0.1179
|
0.1566
|
0.3046
|
0.1179
|
0.19
|
0.5429
|
0.1152
|
|
|
|
|
|
|
81.7586
|
0.0534
|
0
|
2016-03-05 22:07:01 |
1.2.2 |
WAT |
DBpediaSpotlight |
Entity Recognition |
0.2998
|
0.7922
|
0.1848
|
0.2478
|
0.5076
|
0.1819
|
0.1566
|
0.3046
|
0.1179
|
0.19
|
0.5429
|
0.1152
|
|
|
|
|
|
|
81.7586
|
0.0534
|
0
|
2016-03-05 22:07:01 |
1.2.2 |
WAT |
DBpediaSpotlight |
D2KB |
0.1833
|
0.8293
|
0.103
|
0.1587
|
0.3793
|
0.1114
|
0.1566
|
0.3046
|
0.1179
|
0.19
|
0.5429
|
0.1152
|
|
|
|
|
|
|
81.7586
|
0.0534
|
0
|
2016-03-05 22:07:01 |
1.2.2 |
WAT |
IITB |
|
0.1387
|
0.5012
|
0.0805
|
0.153
|
0.4942
|
0.0971
|
0.2251
|
0.4942
|
0.1636
|
0.2107
|
0.5012
|
0.1334
|
0
|
0
|
0
|
0
|
0
|
0
|
1,375.2621
|
0.0578
|
1
|
2016-03-06 20:17:33 |
1.2.2 |
WAT |
IITB |
Entity Recognition |
0.2555
|
0.8441
|
0.1505
|
0.2708
|
0.8368
|
0.1722
|
0.2251
|
0.4942
|
0.1636
|
0.2107
|
0.5012
|
0.1334
|
0
|
0
|
0
|
0
|
0
|
0
|
1,375.2621
|
0.0578
|
0
|
2016-03-06 20:17:33 |
1.2.2 |
WAT |
IITB |
D2KB |
0.1296
|
0.6027
|
0.0726
|
0.1448
|
0.5719
|
0.0883
|
0.2251
|
0.4942
|
0.1636
|
0.2107
|
0.5012
|
0.1334
|
0
|
0
|
0
|
0
|
0
|
0
|
1,375.2621
|
0.0578
|
0
|
2016-03-06 20:17:33 |
1.2.2 |
WAT |
KORE50 |
|
0.5217
|
0.6055
|
0.4583
|
0.4329
|
0.471
|
0.416
|
0.4329
|
0.471
|
0.416
|
0.5217
|
0.6055
|
0.4583
|
|
|
|
|
|
|
326.1837
|
0.0446
|
1
|
2016-03-06 05:46:53 |
1.2.2 |
WAT |
KORE50 |
Entity Recognition |
0.8365
|
0.9244
|
0.7639
|
0.7807
|
0.8807
|
0.7503
|
0.4329
|
0.471
|
0.416
|
0.5217
|
0.6055
|
0.4583
|
|
|
|
|
|
|
326.1837
|
0.0446
|
0
|
2016-03-06 05:46:53 |
1.2.2 |
WAT |
KORE50 |
D2KB |
0.5088
|
0.6905
|
0.4028
|
0.3767
|
0.425
|
0.351
|
0.4329
|
0.471
|
0.416
|
0.5217
|
0.6055
|
0.4583
|
|
|
|
|
|
|
326.1837
|
0.0446
|
0
|
2016-03-06 05:46:53 |
1.2.2 |
WAT |
Microposts2014-Test |
|
0.2983
|
0.4509
|
0.2229
|
0.53
|
0.5664
|
0.5186
|
0.5331
|
0.5693
|
0.5219
|
0.3001
|
0.4509
|
0.2249
|
0
|
0
|
0
|
0
|
0
|
0
|
76.9268
|
0.0051
|
263
|
2016-03-06 18:57:07 |
1.2.2 |
WAT |
Microposts2014-Test |
Entity Recognition |
0.416
|
0.6266
|
0.3113
|
0.5818
|
0.6337
|
0.5642
|
0.5331
|
0.5693
|
0.5219
|
0.3001
|
0.4509
|
0.2249
|
0
|
0
|
0
|
0
|
0
|
0
|
76.9268
|
0.0051
|
0
|
2016-03-06 18:57:07 |
1.2.2 |
WAT |
Microposts2014-Test |
D2KB |
0.3312
|
0.7922
|
0.2094
|
0.5359
|
0.5788
|
0.5191
|
0.5331
|
0.5693
|
0.5219
|
0.3001
|
0.4509
|
0.2249
|
0
|
0
|
0
|
0
|
0
|
0
|
76.9268
|
0.0051
|
0
|
2016-03-06 18:57:07 |
1.2.2 |
WAT |
Microposts2014-Train |
|
0.4
|
0.6017
|
0.2996
|
0.5285
|
0.5927
|
0.5056
|
0.5301
|
0.5936
|
0.5082
|
0.402
|
0.6017
|
0.3019
|
0
|
0
|
0
|
0
|
0
|
0
|
70.5593
|
0.0079
|
484
|
2016-03-07 04:32:18 |
1.2.2 |
WAT |
Microposts2014-Train |
Entity Recognition |
0.5587
|
0.8395
|
0.4186
|
0.6107
|
0.6987
|
0.5805
|
0.5301
|
0.5936
|
0.5082
|
0.402
|
0.6017
|
0.3019
|
0
|
0
|
0
|
0
|
0
|
0
|
70.5593
|
0.0079
|
0
|
2016-03-07 04:32:18 |
1.2.2 |
WAT |
Microposts2014-Train |
D2KB |
0.4129
|
0.8033
|
0.2779
|
0.5352
|
0.6213
|
0.5014
|
0.5301
|
0.5936
|
0.5082
|
0.402
|
0.6017
|
0.3019
|
0
|
0
|
0
|
0
|
0
|
0
|
70.5593
|
0.0079
|
0
|
2016-03-07 04:32:18 |
1.2.2 |
WAT |
MSNBC |
|
0.61
|
0.7836
|
0.4993
|
0.5706
|
0.7485
|
0.482
|
0.6405
|
0.7485
|
0.5754
|
0.6709
|
0.7836
|
0.5865
|
0
|
0
|
0
|
0
|
0
|
0
|
1,744.5789
|
0.1758
|
1
|
2016-03-06 09:19:44 |
1.2.2 |
WAT |
MSNBC |
Entity Recognition |
0.8107
|
0.8513
|
0.7738
|
0.7626
|
0.7972
|
0.7481
|
0.6405
|
0.7485
|
0.5754
|
0.6709
|
0.7836
|
0.5865
|
0
|
0
|
0
|
0
|
0
|
0
|
1,744.5789
|
0.1758
|
0
|
2016-03-06 09:19:44 |
1.2.2 |
WAT |
MSNBC |
D2KB |
0.6171
|
0.8892
|
0.4726
|
0.5828
|
0.8729
|
0.457
|
0.6405
|
0.7485
|
0.5754
|
0.6709
|
0.7836
|
0.5865
|
0
|
0
|
0
|
0
|
0
|
0
|
1,744.5789
|
0.1758
|
0
|
2016-03-06 09:19:44 |
1.2.2 |
WAT |
N3-Reuters-128 |
|
0.4775
|
0.6278
|
0.3852
|
0.4522
|
0.5574
|
0.4179
|
0.5453
|
0.5886
|
0.5525
|
0.585
|
0.6278
|
0.5477
|
0
|
0
|
0
|
0
|
0
|
0
|
298.8413
|
0.205
|
2
|
2016-03-07 04:41:16 |
1.2.2 |
WAT |
N3-Reuters-128 |
Entity Recognition |
0.7302
|
0.6977
|
0.7659
|
0.711
|
0.6958
|
0.796
|
0.5453
|
0.5886
|
0.5525
|
0.585
|
0.6278
|
0.5477
|
0
|
0
|
0
|
0
|
0
|
0
|
298.8413
|
0.205
|
0
|
2016-03-07 04:41:16 |
1.2.2 |
WAT |
N3-Reuters-128 |
D2KB |
0.5016
|
0.797
|
0.3659
|
0.4407
|
0.6279
|
0.3662
|
0.5453
|
0.5886
|
0.5525
|
0.585
|
0.6278
|
0.5477
|
0
|
0
|
0
|
0
|
0
|
0
|
298.8413
|
0.205
|
0
|
2016-03-07 04:41:16 |
1.2.2 |
WAT |
N3-RSS-500 |
|
0.3341
|
0.3922
|
0.291
|
0.2661
|
0.2805
|
0.291
|
0.4782
|
0.4565
|
0.545
|
0.4626
|
0.3922
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
122.4248
|
0.3006
|
1
|
2016-03-07 02:35:12 |
1.2.2 |
WAT |
N3-RSS-500 |
Entity Recognition |
0.6037
|
0.4965
|
0.77
|
0.6153
|
0.5739
|
0.77
|
0.4782
|
0.4565
|
0.545
|
0.4626
|
0.3922
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
122.4248
|
0.3006
|
0
|
2016-03-07 02:35:12 |
1.2.2 |
WAT |
N3-RSS-500 |
D2KB |
0.4347
|
0.6868
|
0.318
|
0.3577
|
0.437
|
0.318
|
0.4782
|
0.4565
|
0.545
|
0.4626
|
0.3922
|
0.564
|
0
|
0
|
0
|
0
|
0
|
0
|
122.4248
|
0.3006
|
0
|
2016-03-07 02:35:12 |
1.2.2 |
WAT |
OKE 2015 Task 1 evaluation dataset |
|
0.5024
|
0.6867
|
0.3961
|
0.4843
|
0.6628
|
0.4024
|
0.5499
|
0.6628
|
0.5103
|
0.5917
|
0.6867
|
0.5198
|
0
|
0
|
0
|
0
|
0
|
0
|
113.52
|
0.1411
|
1
|
2016-03-07 05:12:38 |
1.2.2 |
WAT |
OKE 2015 Task 1 evaluation dataset |
Entity Recognition |
0.7168
|
0.8691
|
0.6099
|
0.7022
|
0.8865
|
0.6111
|
0.5499
|
0.6628
|
0.5103
|
0.5917
|
0.6867
|
0.5198
|
0
|
0
|
0
|
0
|
0
|
0
|
113.52
|
0.1411
|
0
|
2016-03-07 05:12:38 |
1.2.2 |
WAT |
OKE 2015 Task 1 evaluation dataset |
D2KB |
0.5141
|
0.7774
|
0.384
|
0.4905
|
0.7139
|
0.3917
|
0.5499
|
0.6628
|
0.5103
|
0.5917
|
0.6867
|
0.5198
|
0
|
0
|
0
|
0
|
0
|
0
|
113.52
|
0.1411
|
0
|
2016-03-07 05:12:38 |
1.2.2 |
WAT |
OKE 2015 Task 1 gold standard sample |
|
0.6125
|
0.7468
|
0.5191
|
0.5895
|
0.7273
|
0.5388
|
0.6467
|
0.7484
|
0.6124
|
0.6568
|
0.7468
|
0.5861
|
0
|
0
|
0
|
0
|
0
|
0
|
71.7553
|
0.1874
|
1
|
2016-03-07 05:39:31 |
1.2.2 |
WAT |
OKE 2015 Task 1 gold standard sample |
Entity Recognition |
0.7666
|
0.8294
|
0.7126
|
0.7337
|
0.8277
|
0.7114
|
0.6467
|
0.7484
|
0.6124
|
0.6568
|
0.7468
|
0.5861
|
0
|
0
|
0
|
0
|
0
|
0
|
71.7553
|
0.1874
|
0
|
2016-03-07 05:39:31 |
1.2.2 |
WAT |
OKE 2015 Task 1 gold standard sample |
D2KB |
0.5996
|
0.8807
|
0.4545
|
0.5577
|
0.7846
|
0.4653
|
0.6467
|
0.7484
|
0.6124
|
0.6568
|
0.7468
|
0.5861
|
0
|
0
|
0
|
0
|
0
|
0
|
71.7553
|
0.1874
|
0
|
2016-03-07 05:39:31 |
1.2.2 |
WAT |
Bengal Star 100 (uploaded) |
|
0.6136
|
0.5829
|
0.6478
|
0.6237
|
0.641
|
0.6646
|
0.6237
|
0.641
|
0.6646
|
0.6136
|
0.5829
|
0.6478
|
|
|
|
|
|
|
85.8763
|
0.0277
|
3
|
2016-03-09 16:37:46 |
1.2.2 |
WAT |
Bengal Star 100 (uploaded) |
Entity Recognition |
0.7843
|
0.745
|
0.8279
|
0.7927
|
0.8132
|
0.8489
|
0.6237
|
0.641
|
0.6646
|
0.6136
|
0.5829
|
0.6478
|
|
|
|
|
|
|
85.8763
|
0.0277
|
0
|
2016-03-09 16:37:46 |
1.2.2 |
WAT |
Bengal Star 100 (uploaded) |
D2KB |
0.6116
|
0.9569
|
0.4494
|
0.5643
|
0.7895
|
0.4842
|
0.6237
|
0.641
|
0.6646
|
0.6136
|
0.5829
|
0.6478
|
|
|
|
|
|
|
85.8763
|
0.0277
|
0
|
2016-03-09 16:37:46 |
1.2.2 |
WAT |
Bengal Star Para 100 (uploaded) |
|
0.604
|
0.5738
|
0.6377
|
0.6175
|
0.6234
|
0.6607
|
0.6175
|
0.6234
|
0.6607
|
0.604
|
0.5738
|
0.6377
|
|
|
|
|
|
|
74.1237
|
0.0277
|
3
|
2016-03-09 16:55:57 |
1.2.2 |
WAT |
Bengal Star Para 100 (uploaded) |
Entity Recognition |
0.7843
|
0.745
|
0.8279
|
0.7895
|
0.7906
|
0.8525
|
0.6175
|
0.6234
|
0.6607
|
0.604
|
0.5738
|
0.6377
|
|
|
|
|
|
|
74.1237
|
0.0277
|
0
|
2016-03-09 16:55:57 |
1.2.2 |
WAT |
Bengal Star Para 100 (uploaded) |
D2KB |
0.6011
|
0.9518
|
0.4393
|
0.5511
|
0.7512
|
0.4778
|
0.6175
|
0.6234
|
0.6607
|
0.604
|
0.5738
|
0.6377
|
|
|
|
|
|
|
74.1237
|
0.0277
|
0
|
2016-03-09 16:55:57 |
1.2.2 |
WAT |
Bengal Sym 100 (uploaded) |
|
0.5395
|
0.5238
|
0.5562
|
0.5609
|
0.6143
|
0.5885
|
0.5609
|
0.6143
|
0.5885
|
0.5395
|
0.5238
|
0.5562
|
|
|
|
|
|
|
73.202
|
0.1827
|
1
|
2016-03-17 16:51:37 |
1.2.2 |
WAT |
Bengal Sym 100 (uploaded) |
Entity Recognition |
0.7351
|
0.7019
|
0.7715
|
0.7321
|
0.7819
|
0.7904
|
0.5609
|
0.6143
|
0.5885
|
0.5395
|
0.5238
|
0.5562
|
|
|
|
|
|
|
73.202
|
0.1827
|
0
|
2016-03-17 16:51:37 |
1.2.2 |
WAT |
Bengal Sym 100 (uploaded) |
D2KB |
0.5421
|
0.9115
|
0.3858
|
0.498
|
0.7168
|
0.4187
|
0.5609
|
0.6143
|
0.5885
|
0.5395
|
0.5238
|
0.5562
|
|
|
|
|
|
|
73.202
|
0.1827
|
0
|
2016-03-17 16:51:37 |
1.2.2 |
WAT |
Bengal Sym Para 100 (uploaded) |
|
0.5388
|
0.5258
|
0.5524
|
0.5642
|
0.6185
|
0.5902
|
0.5642
|
0.6185
|
0.5902
|
0.5388
|
0.5258
|
0.5524
|
|
|
|
|
|
|
66.7143
|
0.1952
|
2
|
2016-03-17 16:51:53 |
1.2.2 |
WAT |
Bengal Sym Para 100 (uploaded) |
Entity Recognition |
0.7384
|
0.7316
|
0.7453
|
0.7249
|
0.7862
|
0.7663
|
0.5642
|
0.6185
|
0.5902
|
0.5388
|
0.5258
|
0.5524
|
|
|
|
|
|
|
66.7143
|
0.1952
|
0
|
2016-03-17 16:51:53 |
1.2.2 |
WAT |
Bengal Sym Para 100 (uploaded) |
D2KB |
0.5455
|
0.92
|
0.3876
|
0.5038
|
0.7318
|
0.4241
|
0.5642
|
0.6185
|
0.5902
|
0.5388
|
0.5258
|
0.5524
|
|
|
|
|
|
|
66.7143
|
0.1952
|
0
|
2016-03-17 16:51:53 |
1.2.2 |
WAT |
Bengal Path 100 (uploaded) |
|
0.6435
|
0.6392
|
0.6479
|
0.6242
|
0.6763
|
0.6405
|
0.6242
|
0.6763
|
0.6405
|
0.6435
|
0.6392
|
0.6479
|
|
|
|
|
|
|
87.6566
|
0.0124
|
1
|
2016-03-09 16:43:20 |
1.2.2 |
WAT |
Bengal Path 100 (uploaded) |
Entity Recognition |
0.7981
|
0.7927
|
0.8035
|
0.78
|
0.8347
|
0.8025
|
0.6242
|
0.6763
|
0.6405
|
0.6435
|
0.6392
|
0.6479
|
|
|
|
|
|
|
87.6566
|
0.0124
|
0
|
2016-03-09 16:43:20 |
1.2.2 |
WAT |
Bengal Path 100 (uploaded) |
D2KB |
0.6394
|
0.9328
|
0.4864
|
0.591
|
0.8309
|
0.4952
|
0.6242
|
0.6763
|
0.6405
|
0.6435
|
0.6392
|
0.6479
|
|
|
|
|
|
|
87.6566
|
0.0124
|
0
|
2016-03-09 16:43:20 |
1.2.2 |
WAT |
Bengal Path Para 100 (uploaded) |
|
0.657
|
0.6508
|
0.6634
|
0.638
|
0.6933
|
0.6532
|
0.638
|
0.6933
|
0.6532
|
0.657
|
0.6508
|
0.6634
|
|
|
|
|
|
|
64.596
|
0.0124
|
1
|
2016-03-09 16:57:32 |
1.2.2 |
WAT |
Bengal Path Para 100 (uploaded) |
Entity Recognition |
0.8035
|
0.7958
|
0.8113
|
0.7893
|
0.8474
|
0.8108
|
0.638
|
0.6933
|
0.6532
|
0.657
|
0.6508
|
0.6634
|
|
|
|
|
|
|
64.596
|
0.0124
|
0
|
2016-03-09 16:57:32 |
1.2.2 |
WAT |
Bengal Path Para 100 (uploaded) |
D2KB |
0.6539
|
0.9449
|
0.5
|
0.6012
|
0.8426
|
0.5041
|
0.638
|
0.6933
|
0.6532
|
0.657
|
0.6508
|
0.6634
|
|
|
|
|
|
|
64.596
|
0.0124
|
0
|
2016-03-09 16:57:32 |
1.2.2 |
WAT |
Bengal Hybrid 100 (uploaded) |
|
0.6633
|
0.6327
|
0.697
|
0.6395
|
0.6469
|
0.6829
|
0.6395
|
0.6469
|
0.6829
|
0.6633
|
0.6327
|
0.697
|
|
|
|
|
|
|
80.596
|
0.1203
|
1
|
2016-03-11 14:04:02 |
1.2.2 |
WAT |
Bengal Hybrid 100 (uploaded) |
Entity Recognition |
0.8136
|
0.7916
|
0.8369
|
0.7908
|
0.811
|
0.8363
|
0.6395
|
0.6469
|
0.6829
|
0.6633
|
0.6327
|
0.697
|
|
|
|
|
|
|
80.596
|
0.1203
|
0
|
2016-03-11 14:04:02 |
1.2.2 |
WAT |
Bengal Hybrid 100 (uploaded) |
D2KB |
0.6741
|
0.9837
|
0.5127
|
0.596
|
0.806
|
0.5066
|
0.6395
|
0.6469
|
0.6829
|
0.6633
|
0.6327
|
0.697
|
|
|
|
|
|
|
80.596
|
0.1203
|
0
|
2016-03-11 14:04:02 |
1.2.2 |
WAT |
Bengal Hybrid Para 100 (uploaded) |
|
0.6687
|
0.6538
|
0.6843
|
0.6361
|
0.6593
|
0.6653
|
0.6361
|
0.6593
|
0.6653
|
0.6687
|
0.6538
|
0.6843
|
|
|
|
|
|
|
66.3061
|
0.2109
|
2
|
2016-03-11 14:04:11 |
1.2.2 |
WAT |
Bengal Hybrid Para 100 (uploaded) |
Entity Recognition |
0.8157
|
0.7976
|
0.8347
|
0.7921
|
0.8175
|
0.832
|
0.6361
|
0.6593
|
0.6653
|
0.6687
|
0.6538
|
0.6843
|
|
|
|
|
|
|
66.3061
|
0.2109
|
0
|
2016-03-11 14:04:11 |
1.2.2 |
WAT |
Bengal Hybrid Para 100 (uploaded) |
D2KB |
0.6787
|
0.9879
|
0.5169
|
0.5945
|
0.798
|
0.5072
|
0.6361
|
0.6593
|
0.6653
|
0.6687
|
0.6538
|
0.6843
|
|
|
|
|
|
|
66.3061
|
0.2109
|
0
|
2016-03-11 14:04:11 |
1.2.2 |
WAT |
Bengal Summary 100 (uploaded) |
|
0.625
|
0.6012
|
0.6508
|
0.5394
|
0.5658
|
0.5568
|
0.5394
|
0.5658
|
0.5568
|
0.625
|
0.6012
|
0.6508
|
|
|
|
|
|
|
74.9072
|
0.1842
|
3
|
2016-03-17 16:40:48 |
1.2.2 |
WAT |
Bengal Summary 100 (uploaded) |
Entity Recognition |
0.7879
|
0.7536
|
0.8254
|
0.7264
|
0.7336
|
0.7827
|
0.5394
|
0.5658
|
0.5568
|
0.625
|
0.6012
|
0.6508
|
|
|
|
|
|
|
74.9072
|
0.1842
|
0
|
2016-03-17 16:40:48 |
1.2.2 |
WAT |
Bengal Summary 100 (uploaded) |
D2KB |
0.6583
|
0.9576
|
0.5016
|
0.5301
|
0.7292
|
0.4465
|
0.5394
|
0.5658
|
0.5568
|
0.625
|
0.6012
|
0.6508
|
|
|
|
|
|
|
74.9072
|
0.1842
|
0
|
2016-03-17 16:40:48 |
1.2.2 |
WAT |
Bengal Summary Para 100 (uploaded) |
|
0.629
|
0.6131
|
0.6458
|
0.5283
|
0.565
|
0.5411
|
0.5283
|
0.565
|
0.5411
|
0.629
|
0.6131
|
0.6458
|
|
|
|
|
|
|
78
|
0.2567
|
2
|
2016-03-17 16:40:49 |
1.2.2 |
WAT |
Bengal Summary Para 100 (uploaded) |
Entity Recognition |
0.7874
|
0.7268
|
0.8589
|
0.7396
|
0.7422
|
0.8058
|
0.5283
|
0.565
|
0.5411
|
0.629
|
0.6131
|
0.6458
|
|
|
|
|
|
|
78
|
0.2567
|
0
|
2016-03-17 16:40:49 |
1.2.2 |
WAT |
Bengal Summary Para 100 (uploaded) |
D2KB |
0.6584
|
0.9695
|
0.4984
|
0.5324
|
0.745
|
0.4462
|
0.5283
|
0.565
|
0.5411
|
0.629
|
0.6131
|
0.6458
|
|
|
|
|
|
|
78
|
0.2567
|
0
|
2016-03-17 16:40:49 |
1.2.2 |