Question Matching based on Fuzzy Set

摘要：

Sentence similarity computing plays an important role in the Question Answering (QA) System. Because there are many question expressions for one meaning, we present a new approach to match question based on Fuzzy set. In this paper, we establish a library of standard questions. Each standard question is relative with a series of Keywords. The main focus of this paper lies with matching of standard questions and questions asked by users. An experimental system based on the proposed method has been built, and the results of our experiments shows the proposed method is effective for question matching.

关键词： Question Answering system sentence similarity question matching

作者: Tianjiao Gu Fuji Ren

作者单位: Faculty of Engineering,The University of Tokushima Minami-Josanjima 2-1,Tokushima-shi,Tokushima,770-8506,Japan School of Information Engineering,Beijing University of Posts and Telecommunications Beijing 100876,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）