Text Processing Effects and Recall Memory.

Abstract

One current research area within the field of natural language processing is concerned with the nature of predictive understanding mechanisms that seek to interpret input in terms of knowledge-based expectations. A predictive understanding system (human or computational) builds an internal representation for narratives by generating inferences and making casual connections between the events described on the basis of these expectations. Progress in this area now makes it possible to study the various ways that processing complexity at the time of understanding affects the memory representation generated for a text. This investigation will focus on the design and implementation of process-oriented memory structures in a computer program that understands narratives. The results of these efforts will be of interest to researchers in cognitive psychology and linguistics as well as artificial intelligence.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA071430

Entities

People

  • Wendy G. Lehnert

Organizations

  • Yale University

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Comprehension
  • Computer Programs
  • Computer Science
  • Computers
  • Grammars
  • Identification
  • Information Processing
  • Information Systems
  • Language
  • Military Research
  • Natural Language Processing
  • Natural Languages
  • New York
  • Psychology
  • Standards
  • Text Processing

Readers

  • Artificial Intelligence

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval