Statistical Entity Ranking with Domain Knowledge

摘要：

　　Entity search is a new application meeting either precise or vague requirements from the search engines users.Baidu Cup 2016 Challenge just provided such a chance to tackle the problem of the entity search.We achieved the first place with the average MAP scores on 4 tasks including movie,tvShow,celebrity and restaurant.In this paper,we propose a series of similarity features based on both of the word frequency features and the word semantic features and describe our ranking architecture and experiment details.

关键词： Entity Search Similarity Features Statistical Features Domain Knowledge

作者: Xiao-Bo Jin Guang-Gang Geng Kaizhu Huang Zhi-Wei Yan

作者单位: Henan University of Technology China Internet Network Information Center Xian Jiaotong-Liverpool University National Engineering Laboratory for Naming and Addressing Technologies

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: 1-8

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）