Kind Types in knowledge representation

  • Authors:
  • K. Dahlgren;J. McDowell

  • Affiliations:
  • IBM Los Angeles Scientific Center, Los Angeles, California;University of Southern California, Los Angeles, California

  • Venue:
  • COLING '86 Proceedings of the 11th coference on Computational linguistics
  • Year:
  • 1986

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Abstract

This paper describes Kind Types (KT), a system which uses commonsense knowledge to reason about natural language text. KT encodes some of the knowledge underlying natural language understanding, including category distinctions and descriptions differentiating real-world objects, states and events. It embeds an ontology reflecting the ordinary person's top-level cognitive model of real-world distinctions and a database of prototype descriptions of real-world entities. KT is transportable, empirically-based and constrained for efficient reasoning in ways similar to human reasoning processes.