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Proceedings Paper

A Discourse-Based Network For A Natural Language System
Author(s): Paul Buchheit; Jeffrey Tsai; Roger Conant; Thomas Moher
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Paper Abstract

A discourse-based and cross-indexed semantic network has been devised as a knowledge structure for a natural language system. Within the network, word concepts are grouped in hierarchical fashion and linked to other related concepts; phrase structure sentence fragments derived from conversational input are stored as attributes under applicable word concept nodes and are used to provide multiple access points within the knowledge base. Additional features of the design exploit the inheritance properties of networks and the indirect linkages between word concepts.

Paper Details

Date Published: 29 March 1988
PDF: 6 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947015
Show Author Affiliations
Paul Buchheit, University of Illinois at Chicago (United States)
Jeffrey Tsai, University of Illinois at Chicago (United States)
Roger Conant, University of Illinois at Chicago (United States)
Thomas Moher, University of Illinois at Chicago (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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