• DocumentCode
    3331540
  • Title

    An expectation-driven approach to Q-A processing in a mixed-initiative natural language interface

  • Author

    Wallfesh, Saundra K. ; Shin, Dong-Guk

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
  • fYear
    1989
  • fDate
    6-10 Mar 1989
  • Firstpage
    67
  • Lastpage
    74
  • Abstract
    In a mixed-initiative natural-language interface, questions are essentially requests for information. Expectations about the nature of the information requested accompany such questions. The system needs a way of determining whether the user has adequately answered its question. An expectation-based approach to this aspect of question-answer understanding is shown to be a viable strategy. The authors discuss representing and extracting these expectations from system questions and then subsequently using them to evaluate user answers to these questions
  • Keywords
    knowledge engineering; natural languages; user interfaces; Q-A processing; expectation-driven; knowledge engineering; mixed-initiative natural language interface; question-answer understanding; system questions; user interfaces; Computer science; Data engineering; Data mining; Databases; Expert systems; Humans; Mesons; Natural languages; Project management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1989. Proceedings., Fifth Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    0-8186-1902-3
  • Type

    conf

  • DOI
    10.1109/CAIA.1989.49138
  • Filename
    49138