A Flexible and Sentiment-aware Framework for Entity Search

摘要：

　　As a sub-field of information retrieval,entity search which answers users queries by entities,is very useful across various vertical domains.In this paper we propose a flexible and sentiment-aware framework for entity search.Our approach achieved the average MAP score of 0.7044 in the competition of NLPCC Baidu Challenge 2016,obtained the 3rd place among 174 teams.

作者: Kerui Min Chenghao Dong Shiyuan Cai Jianhao Chen

作者单位: BosonData,Inc.

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: 1-10

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）