A question answering system supported by information extraction

  • Authors:
  • Rohini Srihari;Wei Li

  • Affiliations:
  • Cymfony Inc., Williamsville, NY;Cymfony Inc., Williamsville, NY

  • Venue:
  • ANLC '00 Proceedings of the sixth conference on Applied natural language processing
  • Year:
  • 2000

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Abstract

This paper discusses an information extraction (IE) system, Textract, in natural language (NL) question answering (QA) and examines the role of IE in QA application. It shows: (i) Named Entity tagging is an important component for QA, (ii) an NL shallow parser provides a structural basis for questions, and (iii) high-level domain independent IE can result in a QA breakthrough.