What's so Hard about Understanding Language

Abstract

This paper reports empirical work in artificial intelligence (AI) on natural language processing. The kind of AI that we are interested in is cognitive modeling. The goal is to describe some aspect of human mental activity, say problem solving or language use, in computational terms. The central issues is this kind of study turn out to be representation and reasoning (corresponding roughly to data structures and control in computer programs. In this paper we examine several problems in language understanding involving semantic ambiguity, anaphoric reference, and metonymy.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1988
Accession Number
ADA232847

Entities

People

  • Michael Dyer
  • Richard Feifer
  • Walter Read

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ambiguity
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Cognition
  • Cognitive Science
  • Computer Languages
  • Computer Programs
  • Computer Science
  • Computers
  • Language
  • Linguistics
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Reasoning

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Linguistics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation