Maintaining consistency and plausibility in integrated natural language understanding

Authors:
Toyoaki Nishida;Xuemin Liu;Shuji Doshita;Atsushi Yamada
Affiliations:
Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan
Venue:
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Year:
1988

Citing 1
Cited 1

An assumption-based TMS

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Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology

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Abstract

In this paper, we present an inference mechanism called the integrated parsing engine which provides a uniform abductive inference mechanism for natural language understanding. It can (1) make plausible assumptions, (2) reason with multiple alternatives, (3) switch the search process to the maximally plausible alternative, (4) detect contradiction and tame conclutions which depend on inconsistent assumptions, and (5) update plausibility factor of each belief based on new observations. We demonstrate that a natural language understanding system using the integrated parsing engine as a subsystem can pursue a guided search for most plausible interpretation by making use of syntax, semantics, and contextual information.