Story understanding through multi-representation model construction

  • Authors:
  • Erik T. Mueller

  • Affiliations:
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
  • Year:
  • 2003

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Abstract

We present an implemented model of story understanding and apply it to the understanding of a children's story. We argue that understanding a story consists of building multi-representation models of the story and that story models are efficiently constructed using a satisfiability solver. We present a computer program that contains multiple representations of commonsense knowledge, takes a narrative as input, transforms the narrative and representations of commonsense knowledge into a satisfiability problem, runs a satisfiability solver, and produces models of the story as output. The narrative, models, and representations are expressed in the language of Shanahan's event calculus.