Language access to distributed data with error recovery

  • Authors:
  • Earl D. Sacerdoti

  • Affiliations:
  • Artificial Intelligence Center, Stanford Research Institute

  • Venue:
  • IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1977

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Abstract

This paper describes Ms. Malaprop, a program (currently being designed) which will answer questions about simple stories dealing with painting, where stories, questions and answers will be expressed in semantic representation rather than English in order ...