Understanding Goal-Based Stories.

Abstract

Reading requires reasoning. A reader often needs to infer connections between the sentences of a text and must therefore be capable of reasoning about the situations to which the text refers. People can reason about situations because they posses a vast store of knowledge which they can use to infer implicit parts of a situation from those aspects of the situation explicitly described by a text. PAM (Plan Applier Mechanism) is a computer program that understands stories by reasoning about the situations they reference. PAM reads stories in English and produces representations for the stories that include the inferences needed to connect each story's events. To demonstrate that it has understood a story, PAM answers questions about the story and expresses the story from several points of view. PAM reasons about the motives of a story's characters. Many inferences needed for story understanding are concerned with finding explanations for events in the story. PAM has a great deal of knowledge about people's goals which it applies to find explanations for the actions taken by a story's characters in terms of that character's goals and plans.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA062629

Entities

People

  • Robert Wilensky

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computational Linguistics
  • Computer Programs
  • Computer Science
  • Explosives
  • Fish
  • Information Processing
  • Language
  • Linguistics
  • Mental Processes
  • Natural Language Processing
  • Natural Languages
  • New York
  • Personality
  • Psychology
  • United States

Readers

  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval