• DocumentCode
    2000712
  • Title

    A Trend Analysis of the Question Answering Domain

  • Author

    Blooma, Mohan John ; Chua, Alton Yeow Kuan ; Goh, Dion Hoe-Lian ; Keong, Lee Chu

  • Author_Institution
    Wee Kim Wee Sch. of Commun. & Inf., Nanyang Technol. Univ., Singapore
  • fYear
    2009
  • fDate
    27-29 April 2009
  • Firstpage
    1522
  • Lastpage
    1527
  • Abstract
    We present a trend analysis of the question answering (QA) domain. Using bibliometric mapping, we sketched the boundary of the domain by uncovering the topics central to and peripheral to QA research in the new millennium. This paper visualizes the evolution of concepts in the QA domain by studying the dynamics of the QA research during the periods 2000 - 2003 and 2004 - 2007. It was found that question classification, answer extraction, information retrieval, user interface, performance evaluation, Web, & natural language were the main topics in current QA research.
  • Keywords
    Internet; citation analysis; classification; information retrieval; natural languages; user interfaces; Web; answer extraction; bibliometric mapping; citation analysis; coword analysis; information retrieval; natural language; performance evaluation; question answering domain; question classification; trend analysis; user interface; Bibliometrics; Buildings; Data mining; Information analysis; Information retrieval; Information technology; Natural languages; Performance analysis; User interfaces; Visualization; bibliometric mapping; co-word analysis; question answering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-3770-2
  • Electronic_ISBN
    978-0-7695-3596-8
  • Type

    conf

  • DOI
    10.1109/ITNG.2009.96
  • Filename
    5070843