• DocumentCode
    2897755
  • Title

    Information-demanding question answering system

  • Author

    Montero, Calkin A S ; Araki, Kenji

  • Author_Institution
    Graduate Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    1177
  • Abstract
    Natural language question answering (QA) systems that aim to find an accurate answer to a given question have the power to revolutionize computer applications. This paper presents an approach to QA system in which the application not only aims to find a suitable answer to a question but also tries to bring the user-computer interaction closer to human-human interaction through a casual conversation or "chat" with the user. Experimental results are presented showing how human-like computer behavior could improve a QA system.
  • Keywords
    human computer interaction; information retrieval; natural languages; casual conversation; chat; human-human interaction; human-like computer behavior; information demanding; natural language question answering; user-computer interaction; Artificial intelligence; Availability; Data mining; Deductive databases; Humans; Indexing; Information analysis; Information science; Psychology; Query processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8593-4
  • Type

    conf

  • DOI
    10.1109/ISCIT.2004.1413904
  • Filename
    1413904