A Text Retrieval System Based on Distributed Representations

摘要：

　　Most text retrieval systems are essentially based on bagof-words (BOW) text representations.Despite popularity of BOW,it ignores the internal semantic meanings of words since each word is treated as an atomic unit.Recently,distributed word and text representations become increasingly popular in NLP literatures.They embed syntactic and semantic information of words and texts into low-dimensional vectors,thus overcome the weaknesses of traditional BOW representations to some extent.In this paper,we implement a text retrieval system that are totally supported by distributed representations.Our new system no longer relies on the matchings of words in queries and texts,but uses semantic similarity to judge if a text is relevant to a query and to what extent,which provides better user experience compared with traditional text retrieval systems.

关键词： Text retrieval Distributed text representation Hierarchical paragraph vector

作者: Zhe Zhao Tao Liu Jun Chen Bofang Li Xiaoyong Du

作者单位: School of Information,Renmin University of China,Beijing,China

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 537-541

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）