Answer Extraction Based on Query Expansion in Chinese Question Answering System

摘要：

When using natural language question to retrieval document, query expansion are the key factors that affect its retrieval performance. By analyzing the traditional query expansion method, this paper puts forward a query expansion method based on set theory for answering document retrieval. In order to verify the validity of the method, a similarity calculation method for question and candidate answer sentences is proposed to extract the answer. The major query expansion terms and the minor query expansion terms are taken into consideration with different weight in the similarity calculation. The experiment results show that the performance makes substantial improvement.

关键词： Chinese question answering system query expansion answer extracting similarity calculation.

作者: Keliang JIA Yongle SUN Zhinuo LI

作者单位: School of Information Management,Shandong Economic University,Jinan,Shandong,China;School of Compute School of Computer and Communication Engineering,Weifang University,Weifang,Shandong,China School of Computer Science and Technology,Beijing Institute of Technology,Beijing,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）