A Framework to Extract Arguments in Opinion Texts

María Paz García-Villalba and Patrick Saint-Dizier
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María Paz García-Villalba: Institut de Recherche en Informatique de Toulouse, France
Patrick Saint-Dizier: Institut de Recherche en Informatique de Toulouse, France

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2012, vol. 6, issue 3, 62-87

Abstract: In this article, the authors present foundational elements related to argument extraction in opinion texts with the objective to design a model of how consumers develop argumentation in such texts. A second goal is to analyze and synthesize user preferences and therefore user value systems from these arguments. They show that (1) within the context of opinionated expressions, a number of evaluative expressions with a ‘heavy’ semantic load receive an argumentative interpretation, and (2) that the association of an evaluative expression with a discourse structure such as an elaboration, an illustration, or a reformulation must also be interpreted as an argument. The authors develop a conceptual semantics of these discourse structures and show how they are analyzed using the Dislog programming language, running on the platform, dedicated to discourse analysis.

Date: 2012
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