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Design and implementation of FAQ automatic return system based on similarity computation

  • Web Application Framework and Architecture
  • Published:
Wuhan University Journal of Natural Sciences

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.

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Authors and Affiliations

  1. Department of Computer Science, Nanjing University of Science and Technology, 210000, Nanjing, Jiangsu, China

    Zhang Liang

  2. Research Center of Computer and Language Information Engineering, Chinese Academy of Sciences, 100083, Beijing, China

    Zhang Liang, Chen Zhao-xiong & Huang He-yan

  3. Jiangsu Police Institute, 210000, Nanjing, Jiangsu, China

    Zhang Liang

Authors
  1. Zhang Liang
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  2. Chen Zhao-xiong
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  3. Huang He-yan
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Corresponding author

Correspondence to Huang He-yan.

Additional information

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.

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Liang, Z., Zhao-xiong, C. & He-yan, H. Design and implementation of FAQ automatic return system based on similarity computation. Wuhan Univ. J. Nat. Sci. 11, 138–142 (2006). https://doi.org/10.1007/BF02831719

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  • DOI: https://doi.org/10.1007/BF02831719

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