Generating argumentative judgment determiners

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


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 mapping from the conceptual input to this set of syntactic features is then presented. The presented procedure relies on a description of the speaker's argumentative intent to control this mapping and to select appropriate judgment determiners.

Original languageEnglish
Title of host publicationProceedings of the National Conference on Artificial Intelligence
PublisherPubl by AAAI
Number of pages6
ISBN (Print)0262510715
StatePublished - 1 Dec 1993
EventProceedings of the 11th National Conference on Artificial Intelligence - Washington, DC, USA
Duration: 11 Jul 199315 Jul 1993

Publication series

NameProceedings of the National Conference on Artificial Intelligence


ConferenceProceedings of the 11th National Conference on Artificial Intelligence
CityWashington, DC, USA

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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