A strategy for generating evaluative arguments

Giuseppe Carenini, Johanna D. Moore

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We propose an argumentation strategy for generating evaluative arguments that can be applied in systems serving as personal assistants or advisors. By following guidelines from argumentation theory and by employing a quantitative model of the user's preferences, the strategy generates arguments that are tailored to the user, properly arranged and concise. Our proposal extends the scope of previous
approaches both in terms of types of arguments generated, and in terms of compliance with principles from argumentation theory.
Original languageEnglish
Title of host publicationINLG 2000 - Proceedings of the First International Natural Language Generation Conference, June 12-16, 2000, Mitzpe Ramon, Israel
Number of pages8
Publication statusPublished - 2000

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