• DocumentCode
    2565122
  • Title

    Extracting Chinese question-answer pairs from online forums

  • Author

    Wang, Baoxun ; Liu, Bingquan ; Sun, Chengjie ; Wang, Xiaolong ; Sun, Lin

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    1159
  • Lastpage
    1164
  • Abstract
    Extracting question-answer pairs from online forums is a meaningful work due to the huge amount of valuable user generated resource contained in forums. In this paper we consider the problem of extracting Chinese question-answer pairs for the first time. We present a strategy to detect Chinese questions and their answers. We propose a sequential rule based method to find questions in a forum thread, then we adopt non-textual features based on forum structure to improve the performance of answer detecting in the same thread. Experimental results show that our techniques are very effective.
  • Keywords
    Internet; data mining; information retrieval; knowledge based systems; Chinese question-answer pairs extraction; nontextual feature; online forum thread; sequential rule based method; user generated resource; Computer science; Cybernetics; Data mining; Feature extraction; Humans; Natural languages; Sun; Testing; USA Councils; Yarn; classification; information extraction; labeled sequential rules; nontextual features; question answering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5345956
  • Filename
    5345956