Entity Linking from Microblogs to Knowledge Base Using ListNet Algorithm

摘要：

　　Entity Linking (EL) is a fundamental technology in Natural Language Processing and Knowledge Engineering.Previous works mainly focus on linking mentioned names recognized in news or articles to knowledge base.However, in social network, user-generated content is quite different from typical news text.Users sometimes use words more informally, even create new words.One entity may have different aliases mentioned by web users, so identifying these aliases calls for more attention than before.Several methods are proposed to mine aliases and a learning-to-rank framework is applied to combine different types of feature together.A binary classifier based on SVM is trained to judge whether the top one candidate given by ranking algorithm is accepted.The evaluation results of NLP&CC 20131 Entity Linking Track shows the effectiveness of this framework.

关键词： Entity Linking Microblog Learning to Rank

作者: Yan Wang Cheng Luo Xin Li Yiqun Liu Min Zhang Shaoping Ma

作者单位: State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology, Tsinghua University Beijing 100084, China

会议类型: 国际会议

会议名称: Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)

会议地点: 重庆

会议语种:英文

页码: 277-287

在线出版日期: 2013-11-15（万方平台首次上网日期，不代表论文的发表时间）