• DocumentCode
    1936476
  • Title

    A New Approach to Compute the Semantic Similarity of Chinese Question Sentence

  • Author

    Chen, Kang ; Fan, Xiao-Zhong ; Liu, Jie ; Yu, Zheng-tao

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • Volume
    6
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3390
  • Lastpage
    3395
  • Abstract
    The sentence similarity computation plays an important role in each field of Chinese information processing. A new approach to compute the Chinese question semantic similarity is presented, which is divided into two steps: the first step is to extract the question semantic representation from the question, and the second step is to compute the question semantic similarity based on the question semantic representation. This paper uses the method of question semantic model matching to extract the question semantic representation from the question. The experimental results show that the proposed algorithm worked more reasonable in the real calculation. In addition, our approach is of great value for many potential applications in the future.
  • Keywords
    information retrieval; knowledge representation; natural language processing; Chinese information processing; Chinese question semantic similarity; question semantic model matching; question semantic representation; Automation; Computer science; Cybernetics; Data mining; Fuzzy systems; Information filtering; Information processing; Information retrieval; Machine learning; Natural language processing; Chinese question; Question semantic representation; Semantic chunk; Semantic similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370734
  • Filename
    4370734