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Implementing a model for understanding goal‐oriented discourse
Author(s) -
Cohen Robin
Publication year - 1991
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550060102
Subject(s) - oracle , computer science , relation (database) , interpretation (philosophy) , linguistics , discourse analysis , natural language processing , artificial intelligence , programming language , philosophy , database
This article describes the design decisions taken in implementing a processing model for understanding goal‐oriented discourse. This model analyzes a restricted form of discourse known as arguments. Two main contributions are: (i) an integrated processing algorithm, which combines basic processing constraints with an interpretation of clue words–words and phrases which serve to indicate the structure of the discourse; (ii) a working version of the “evidence oracle,” which establishes connections between utterances in the discourse. This oracle determines if an “evidence” relation is intended between two utterances, and builds a model of the speaker based on the evidence relations found. This article thus emphasizes the general insights gained from the implementation exercise, both for the specification of a discourse analysis model, and for the general problem of recognizing a speaker's intentions and plans.