The Conceptual Content of Conversation.

Abstract

Conversations between humans constitute a challenging task orientation for theories of natural language processing. Problems of conceptual representation, predictive understanding techniques, and the recognition of conversational continuity are especially crucial for computational models of dialogue. Significant information exchanges often lie hidden beneath the surface communications of human conversation. This paper outlines a strategy for conversational analysis that utilizes multiple levels of information flow in order to characterize the conceptual content of a conversation. The role of predictive knowledge structures and contextual information is illustrated in an analysis of a sample conversation, along with an outline of conversational rules specific to particular levels of conversational analysis. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA070028

Entities

People

  • Roger Schank
  • Wendy G. Lehnert

Organizations

  • Yale University

Tags

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  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programs
  • Computer Science
  • Computers
  • Continuity
  • Department Of Defense
  • Electrical Engineering
  • Electronics Laboratories
  • Information Exchange
  • Information Processing
  • Information Systems
  • Language
  • Marine Corps
  • Military Research
  • Natural Language Processing
  • Natural Languages
  • New York

Readers

  • Nanofabrication and Microfabrication.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation