实体消歧系列文章.rar

[{"title":"（ 12 个子文件 4.67MB ） 实体消歧系列文章.rar","children":[{"title":"实体消歧","children":[{"title":"2007-EMNLP-CoNLL-Large-scale named entity disambiguation based on Wikipedia data.pdf <span style='color:#111;'> 227.82KB </span>","children":null,"spread":false},{"title":"2018-AAAI-DeepType：Multilingual Entity Linking by Neural Type System Evolution.pdf <span style='color:#111;'> 559.66KB </span>","children":null,"spread":false},{"title":"2006-EACL-Using Encyclopedic Knowledge for Named entity Disambiguation.pdf <span style='color:#111;'> 201.57KB </span>","children":null,"spread":false},{"title":"2016-CoNLL-Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation.pdf <span style='color:#111;'> 130.10KB </span>","children":null,"spread":false},{"title":"2011-SIGIR-Collective entity linking in web text：a graph-based method.pdf <span style='color:#111;'> 753.17KB </span>","children":null,"spread":false},{"title":"2014-TACL-Entity linking meets word sense disambiguation：a unified approach.pdf <span style='color:#111;'> 513.39KB </span>","children":null,"spread":false},{"title":"2016-ACL-Cross-lingual Wikification Using Multilingual Embeddings.pdf <span style='color:#111;'> 951.00KB </span>","children":null,"spread":false},{"title":"2009-CIKM-Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge.pdf <span style='color:#111;'> 429.35KB </span>","children":null,"spread":false},{"title":"2017-EMNLP-Deep Joint Entity Disambiguation with Local Neural Attention.pdf <span style='color:#111;'> 646.02KB </span>","children":null,"spread":false},{"title":"2011-EMNLP-Robust Disambiguation of Named Entities in Text.pdf <span style='color:#111;'> 293.28KB </span>","children":null,"spread":false},{"title":"2011-IJCNLP-Cross-Language Entity Linking.pdf <span style='color:#111;'> 427.30KB </span>","children":null,"spread":false},{"title":"2011-ACL-HLT-Local and Global Algorithms for Disambiguation to Wikipedia.pdf <span style='color:#111;'> 291.71KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]