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A Strategy for Generating Evaluative Arguments

, and . International Conference on Natural Language Generation, page 47--54. (2000)

Abstract

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...

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