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Design and Implementation of FAQ Automatic Return System Based on Similarity Computation
作者姓名:ZHANG  Liang  CHEN  Zhao-xiong  HUANG  He-yan
作者单位:[1]Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210000, Jiangsu, China [2]Research Center of Computer and Language Information Engineering, Chinese Academy of Sciences,Beijing 100083, China [3]Jiangsu Police Institute, Nanjing 210000, Jiangsu,China
基金项目:Supported by the National Natural Science Foun dation of China (60272088)
摘    要:FAQ (frequently asked question) is widely used on the Internet, but most FAQ's asking and answering are not automatic. This paper introduces the design and imple mentation of a FAQ automatic return system based on semantic similarity computation, including computation model choo sing, FAQ characters analyzing, FAQ data formal expressing, feature vector indexing, and weight computing and so on. According to FAQ features of sentence length short, two mapping, strong domain characteristics etc. Vector Space Model with special semantic process was selected in system, and corresponding algorithm of similarity computation was proposed too. Experiment shows that the system has a good performance for high frequent and common questions.

关 键 词:相似计算  信息检索  FAQ  VSM  自动复位系统  计算机网络
文章编号:1007-1202(2006)01-0138-05
收稿时间:2005-04-15

Design and implementation of FAQ automatic return system based on similarity computation
ZHANG Liang CHEN Zhao-xiong HUANG He-yan.Design and Implementation of FAQ Automatic Return System Based on Similarity Computation[J].Wuhan University Journal of Natural Sciences,2006,11(1):138-142.
Authors:Zhang Liang  Chen Zhao-xiong  Huang He-yan
Institution:(1) Department of Computer Science, Nanjing University of Science and Technology, 210000 Nanjing, Jiangsu, China;(2) Research Center of Computer and Language Information Engineering, Chinese Academy of Sciences, 100083 Beijing, China;(3) Jiangsu Police Institute, 210000 Nanjing, Jiangsu, China
Abstract:FAQ (frequently asked question) is widely used on the Internet, but most FAQ's asking and answering are not automatic. This paper introduces the design and implementation of a FAQ automatic return system based on semantic similarity computation, including computation model choosing, FAQ characters analyzing, FAQ data formal expressing, feature vector indexing, and weight computing and so on. According to FAQ features of sentence length short, two mapping, strong domain characteristics etc. Vector Space Model with special semantic process was selected in system, and corresponding algorithm of similarity computation was proposed too. Experiment shows that the system has a good performance for high frequent and common questions. Foundation item: Supported by the National Natural Science Foundation of China (60272088) Biography: ZHANG Liang (1966-), male, Ph. D. candidate, research direction: natural language processing and question answering system.
Keywords:FAQ  VSM  similarity computation  information retrieval
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