A Two-Level Approach to Generate Synthetic Argumentation Reports

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 di↵erent 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 arguments that have been mined and navigation facilities that allow to access the argument contents in order to get more details.