Selecting tense aspect and connecting words in language generation

  • Authors:
  • Bonnie J. Dorr;Terry Gaasterland

  • Affiliations:
  • Department of Computer Science, University of Maryland, College Park, MD;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL

  • Venue:
  • IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1995

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Abstract

Generating language that reflects the temporal organization of represented knowledge requires a language generation model chat integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts The mam result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.