• Title of article

    Getting answers to natural language questions on the Web

  • Author/Authors

    Dragomir R. Radev1، نويسنده , , Kelsey Libner2، نويسنده , , Weiguo Fan3، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2002
  • Pages
    6
  • From page
    359
  • To page
    364
  • Abstract
    Most popular search engines are not designed for answering natural language questions. However, when we asked hundreds of natural language questions of nine leading search engines, all retrieved at least one correct answer on more than three-quarters of the questions. We identified the best-performing search engines overall for factual natural language questions. We found performance differences depending on the domain of factual question asked. Other aspects of questions also predicted significantly different performance: the number of words in the question, the presence of a proper noun, and whether the question is time dependent. An additional analysis tested for differential performance by specific search engines on these four question factors. The analysis found no evidence for such interactions.
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Serial Year
    2002
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Record number

    993220