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A Two-Level Approach to Generate Synthetic Argumentation Reports

Saint-Dizier, Patrick A Two-Level Approach to Generate Synthetic Argumentation Reports. (2018) In: 17th Workshop on Computational Models of Natural Argumentation (CMNA@ICAIL 2017), 16 June 2017 - 16 June 2017 (Londres, United Kingdom).

(Document in English)

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Official URL: https://doi.org/10.3233/AAC-180035


Given a controversial issue, a major challenge in argument mining is to organize the arguments which have been mined to generate a synthesis that is readable, synthetic enough and relevant for various types of users. Based on the Generative Lexicon (GL) Qualia structure, which is a kind of lexical and knowledge repository, that we have enhanced in different manners and associated with inferences and language patterns, we show how to construct a synthesis that outlines the typical elements found in arguments. We propose a two-level approach: a synthesis of the propositions that have been mined, and navigation facilities that allow users to access arguments, structured in clusters, in order to get more details. This approach contributes to characterize why and how propositions support or attack an issue or some facets of that issue.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02603764
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
CNRS : Centre national de la recherche scientifique (France)
Deposited On:30 Apr 2020 15:20

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