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TDSS: A New Word Sense Representation Framework for Information Retrieval
Liwei Chen ; Yansong Feng ; Dongyan Zhao
2016
关键词word sense induction graph clustering query rewriting
英文摘要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.; 1-12
语种英语
出处第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)论文集中国计算机学会
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/462464]  
专题计算机科学技术研究所
推荐引用方式
GB/T 7714
Liwei Chen,Yansong Feng,Dongyan Zhao. TDSS: A New Word Sense Representation Framework for Information Retrieval. 2016-01-01.
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