• DocumentCode
    480670
  • Title

    Answering Any Class of Japanese Non-factoid Question by Using the Web and Example Q&A Pairs from a Social Q&A Website

  • Author

    Mori, Tatsunori ; Sato, Mitsuru ; Ishioroshi, Madoka

  • Author_Institution
    Grad. Sch. of Environ. & Inf. Sci., Yokohama Nat. Univ., Yokohama
  • Volume
    1
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    59
  • Lastpage
    65
  • Abstract
    In this paper, we propose a method of non-factoid Web question-answering that can uniformly deal with any class of Japanese non-factoid question by using a large number of example Q&A pairs. Instead of preparing classes of questions beforehand, the method retrieves already asked question examples similar to a submitted question from a set of Q&A pairs. Then, instead of preparing clue expressions for the writing style of answers according to each question class beforehand, it dynamically extracts clue expressions from the answer examples corresponding to the retrieved question examples. This clue expression information is combined with topical content information from the question to extract appropriate answer candidates. The experimental results showed that the clue expressions obtained from the set of examples improved the accuracy of answer candidate extraction.
  • Keywords
    information retrieval; natural languages; social networking (online); Japanese nonfactoid Web question-answering method; clue expression information retrieval; social question-answering Web site; Data mining; Information resources; Information retrieval; Intelligent agent; Search engines; Thesauri; Web search; Writing; Question answering; Web documents; non-factoid questions; social Q&A website;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.201
  • Filename
    4740426