• DocumentCode
    3124459
  • Title

    Question identification in Chinese micro-texts

  • Author

    Le Tian ; Xipeng Qiu ; Xuanjing Huang

  • Author_Institution
    Fudan Univ., Shanghai, China
  • Volume
    04
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1910
  • Lastpage
    1915
  • Abstract
    Micro-blogs have become very convenient places to ask questions and seek information. In this paper, we focus on automatically identifying questions (the micro-texts which are asked to seek information or help) from Chinese micro-texts. Based on the characters of Chinese question, we investigate various rule-based and learning-based methods to recognize questions. In addition to identify the questions, we also distinguish whether a question can be answered with sufficient conditions. The experimental results on Chinese micro-texts show that our proposed dependency tree pattern is effective for question identification.
  • Keywords
    learning (artificial intelligence); social networking (online); text analysis; Chinese microtexts; Chinese question characters; dependency tree pattern; learning-based methods; microblogs; question identification; question recognition; rule-based methods; Abstracts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890907
  • Filename
    6890907