TDSS: A New Word Sense Representation Framework for Information Retrieval

摘要：

　　Word sense representation is important in the tasks of information retrieval(IR).Existing lexical databases,e.g.,WordNet,and automated word sense representing approaches often use only one view to represent a word,and may not work well in the tasks which are sensitive to the contexts,e.g.,query rewriting.In this paper,we propose a new framework to represent a word sense simultaneously in two views,explanation view and context view.We further propose an novel method to automatically learn such representations from large scale of query logs.Experimental results show that our new sense representations can better handle word substitutions in a query rewriting task.

关键词： word sense induction graph clustering query rewriting

作者: Liwei Chen Yansong Feng Dongyan Zhao

作者单位: Institute of Computer Science and Technology,Peking University,Beijing,China;Baidu Inc.,Beijing,Chin Institute of Computer Science and Technology,Peking University,Beijing,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-12

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）