Guiding an HPSG parser using semantic and pragmatic expectations

  • Authors:

  • Jim Skon

  • Affiliations:

  • The Ohio State University, Columbus, OH

  • Venue:
  • ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
  • Year:
  • 1993

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Abstract

Efficient natural language generation has been successfully demonstrated using highly compiled knowledge about speech acts and their related social actions. A design and prototype implementation of a parser which utilizes this same pragmatic knowledge to efficiently guide parsing is presented. Such guidance is shown to prune the search space and thus avoid needless processing of pragmatically unlikely constituent structures.