Question Similarity Calculation for FAQ Answering

摘要：

Frequently Asked Question (FAQ) answering is a very useful module in automatic question answering (QA) systems where calculation of question similarity is a key problem. In this paper, we propose a new method for measuring the similarity between users questions and the questions in a FAQ database. Both statistic measure and semantic information are employed. Statistic similarity is calculated based on dynamically formed vectors while semantic similarity is calculated by utilizing word similarity based on WordNet. Overall similarity is a combination of statistic similarity and semantic similarity. Preliminary results show that our method achieves a good performance.

作者: Wanpeng Song Min Feng Naijie Gu Liu Wenyin

作者单位: Department of Computer Science and Technology, University of Science & Technology of China, Hefei, C Department of Computer Science, City University of Hong Kong, Hong Kong, China Department of Computer Science and Technology, University of Science & Technology of China, Hefei, C Department of Computer Science, City University of Hong Kong, Hong Kong, China;Joint Research Lab of

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）