GERBIL Experiment

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Type: A2KB
Matching: Mw - weak annotation match
Annotator Dataset Micro F1 score Micro Precision Micro Recall Macro F1 score Macro Precision Macro Recall InKB Macro F1 score InKB Macro Precision InKB Macro Recall InKB Micro F1 score InKB Micro Precision InKB Micro Recall EE Macro F1 score EE Macro Precision EE Macro Recall EE Micro F1 score EE Micro Precision EE Micro Recall avg millis/doc confidence threshold Error Count Timestamp GERBIL version
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