• DocumentCode
    3521331
  • Title

    Research on Chinese Question Classification Based on Hownet and Dependency Parsing

  • Author

    Zhang Wei ; Chen Junjie ; Niu Yanqing

  • Author_Institution
    Inf. Center, Shanxi Med. Coll. for Continuing Educ., Taiyuan, China
  • fYear
    2011
  • fDate
    28-29 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Question classification is an important part of Chinese question answering system, and the result of question classification directly affects the quality of question answering. This paper presents a new method on feature extraction for question classification. HowNet and dependency parsing are used in this new method. The classification experimental results using SVM classifier have shown that the model proposed in the paper is effective in improving question classification accuracy.
  • Keywords
    feature extraction; pattern classification; question answering (information retrieval); support vector machines; thesauri; Chinese question answering system; Chinese question classification; Hownet; SVM classifier; dependency parsing; feature extraction; Accuracy; Education; Feature extraction; Information retrieval; Semantics; Support vector machines; Syntactics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9855-0
  • Electronic_ISBN
    978-1-4244-9857-4
  • Type

    conf

  • DOI
    10.1109/ISA.2011.5873388
  • Filename
    5873388