The Role of Object Primitives in Natural Language Processing.

Abstract

Natural language processing techniques rely in part on the use of functional knowledge about physical objects, and associative memory structure. In this paper, a representational system called Object Primitives is presented as an extension to the system of Conceptual Dependency for the purpose of representing physical objects and providing an organizing structure for associative memory. A computer program, OPUS, is described which applies this representational system to the problem of analyzing natural language sentences dealing with objects. Inferences derived from Object Primitive descriptions are made during the conceptual analysis by a system of demons, providing a framework for an integrated understanding system. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA069861

Entities

People

  • Mark H. Burstein
  • Wendy G. Lehnert

Organizations

  • Yale University

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Cognition
  • Computer Languages
  • Computer Programs
  • Computer Science
  • Computers
  • Content Addressable Memory
  • Demographic Cohorts
  • Electrical Engineering
  • Information Systems
  • Language
  • Military Research
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • New York

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Database Systems and Applications
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation