Using classification to generate text

  • Authors:
  • Ehud Reiter;Chris Mellish

  • Affiliations:
  • University of Edinburgh, Edinburgh, Britain;University of Edinburgh, Edinburgh, Britain

  • Venue:
  • ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
  • Year:
  • 1992

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Abstract

The IDAS natural-language generation system uses a KL-ONE type classifier to perform content determination, surface realisation, and part of text planning. Generation-by-classification allows IDAS to use a single representation and reasoning component for both domain and linguistic knowledge, which is difficult for systems based on unification or systemic generation techniques.