An information-theoretic approach for argument interpretation in a conversational setting

Authors:
Sarah George;Ingrid Zukerman;Mark George
Affiliations:
Monash University, Clayton, VICTORIA, AUSTRALIA;Monash University, Clayton, VICTORIA, AUSTRALIA;Monash University, Clayton, VICTORIA, AUSTRALIA
Venue:
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Year:
2003

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Abstract

We describe an information-theoretic argument-interpretation mechanism embedded in an interactive system. Our mechanism applies the Minimum Message Length principle to evaluate candidate interpretations and select the best candidate. It receives as input an argument entered through a web interface, and produces an interpretation in terms of its underlying knowledge representation -- a Bayesian network. The results of our preliminary evaluations are encouraging, with the system generally producing plausible interpretations of users' arguments.