Using plans to understand natural language

  • Authors:
  • Robert Wilensky

  • Affiliations:
  • Yale University, New Haven, Connecticut

  • Venue:
  • ACM '76 Proceedings of the 1976 annual conference
  • Year:
  • 1976

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Abstract

Our ability to build a natural language understanding system is limited by the degree to which we can organize and apply world knowledge. This paper describes a program, called PAM, that has knowledge about people's intentions. PAM uses its knowledge to infer the relationships between sentences in a text. A sample run of the program is presented and is described in detail. The inference mechanisms of PAM are compared to those of other knowledge-application programs.