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AAAI 1993

Generating Argumentative Judgment Determiners

Conference Paper Natural Language Generation Artificial Intelligence

Abstract

This paper presents a procedure to generate judgment determiners, e. g. , many, few. Although such determiners carry very little objective information, they are extensively used in everyday language. The paper presents a precise characterization of a class of such determiners using three semantic tests. A conceptual representation for sets is then derived from this characterization which can serve as an input to a generator capable of producing judgment determiners. In a second part, a set of syntactic features controlling the realization of complex determiner sequences is presented. The ma@ing from the conceptual input to this set of syntactic features is then presented. The presented procedure relies on a description of the speaker’ s arg-gumentative intent to control this mapping and to select appropriate judgment determiners.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
397943803396602646