Attitude emergence: an effective interpretation scheme for persuasive discourse

Authors:
Horng-Jyh P. Wu;Steven L. Lytinen
Affiliations:
The University of Michigan, Ann Arbor, MI;The University of Michigan, Ann Arbor, MI
Venue:
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Year:
1992

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Abstract

Previous approaches have used a reasoning mechanism called belief percolation to determine the actual speech intent of the speaker (e.g., (Wilks and Bien 1979)). In this paper, a similar mechanism, called attitude emergence, is proposed as a mechanism for inferring a speaker's attitude toward the propositions in a persuasive discourse. It is shown that in order to adequately interpret the statements in advertisements, associations of relevant semantic information, through bridging inferences, are to be percolated up through attitude model contexts to enhance and calibrate the interpretation of statements. A system called BUYER is being implemented to recognize speech intents through attitude emergence in the domain of food advertisements taken from Reader's Digest. An example of BUYER's processing is also presented in the paper.