• DocumentCode
    3431985
  • Title

    Question classification oriented Chinese Framenet feature selection

  • Author

    Geng Yan ; Wang Wenjing

  • Author_Institution
    Dept. of Inf. Eng., Shanxi Univ., Taiyuan, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    222
  • Lastpage
    225
  • Abstract
    For feature selection of the classification in Restricted-domain Question Answering System, Chinese Net framework full advantage of this Chinese characteristics in terms of semantic expression, this paper presents feature selection called strong class information words (SCIW). First, selecting five kinds of Chinese Framenet features, and using SCIW to select features. According to each category´s classification precision of features, sorts them. Through the experiment of the combination of the features, we select the combination of features. It improved the accuracy of classification, reaching the feature reduction.
  • Keywords
    classification; natural language processing; question answering (information retrieval); semantic Web; Chinese Net framework; Chinese characteristics; Chinese framenet features; SCIW; category classification precision; classification accuracy; feature reduction; question classification oriented Chinese framenet feature selection; restricted-domain question answering system; semantic expression; strong class information words; Accuracy; Computers; Educational institutions; Feature extraction; Iron; Semantics; Syntactics; Chinese framenet; feature selection; question classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028622
  • Filename
    6028622