A Two-Level Approach to Generate Synthetic Argumentation Reports

Patrick Saint Dizier (1)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage

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.

Mots clés: Argument mining; Natural language processing; Knowledge representation; Generative Lexicon Qualia Structure

Domaines: Logique en informatique [cs.LO]

Patrick Saint Dizier. A Two-Level Approach to Generate Synthetic Argumentation Reports. 17th Workshop on Computational Models of Natural Argumentation (CMNA@ICAIL 2017), Jun 2017, Londres, United Kingdom. ⟨hal-02603764⟩