@prefix foaf: . @prefix ns1: . @prefix ns2: . ns1:xiaolong-li foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-504 . ns1:wei-lu foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-504 . @prefix ns3: . @prefix ns4: . ns4:proceedings ns3:hasPart ns2:iswc-2017-iswc-2017-posters-and-demos-504 . @prefix rdf: . @prefix ns6: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 rdf:type ns6:ProceedingsPaper . @prefix owl: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 rdf:type owl:Thing . @prefix rdfs: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 rdf:type rdfs:Resource . @prefix ns9: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 rdf:type ns9:InformationObject , ns9:Object , ns3:InProceedings , ns9:SocialObject ; rdfs:label "Investigating Stroke-Level Information for Learning Chinese Word Embeddings" . @prefix ns10: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 owl:sameAs ns10:iswc-2017-iswc-2017-posters-and-demos-504 . @prefix ns11: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 ns11:abstract "We propose a novel method for learning Chinese word embeddings. Different from previous approaches, we investigate the effectiveness of the Chinese stroke-level information when learning Chinese word embeddings. Empirically, our model consistently outperforms several state-of-the-art methods, including skipgram, cbow, GloVe and CWE, on the standard word similarity and word analogy tasks." . @prefix dc: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 dc:creator ns1:wei-lu , ns1:xiaolong-li , ns1:jun-zhou , ns1:shaosheng-cao . @prefix xsd: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 dc:subject "Wikipedia"^^xsd:string , "stroke n-grams"^^xsd:string , "Chinese word embeddings"^^xsd:string ; dc:title "Investigating Stroke-Level Information for Learning Chinese Word Embeddings" . @prefix ns14: . @prefix ns15: . ns2:iswc-2017-iswc-2017-posters-and-demos-504 ns14:authorList ns15:iswc-2017-iswc-2017-posters-and-demos-504 ; foaf:maker ns1:shaosheng-cao , ns1:wei-lu , ns1:jun-zhou , ns1:xiaolong-li ; ns3:abstract "We propose a novel method for learning Chinese word embeddings. Different from previous approaches, we investigate the effectiveness of the Chinese stroke-level information when learning Chinese word embeddings. Empirically, our model consistently outperforms several state-of-the-art methods, including skipgram, cbow, GloVe and CWE, on the standard word similarity and word analogy tasks." ; ns3:hasAuthorList ns15:iswc-2017-iswc-2017-posters-and-demos-504 ; ns3:isPartOf ns4:proceedings ; ns3:keyword "Chinese word embeddings"^^xsd:string , "Wikipedia"^^xsd:string , "stroke n-grams"^^xsd:string ; ns3:title "Investigating Stroke-Level Information for Learning Chinese Word Embeddings" . ns1:jun-zhou foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-504 . ns1:shaosheng-cao foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-504 .