Adpositional Argumentation (AdArg) A new method for representing linguistic and pragmatic information about argumentative discourse

Open Access
Authors
Publication date 2019
Host editors
  • S. Doutre
  • T. de Lima
Book title JIAF
Book subtitle Journées d’Intelligence Artificielle Fondamentale : PFIA 2019
Event 13èmes Journées d'Intelligence Artificielle Fondamentale
Pages (from-to) 101-107
Publisher Association française pour l'Intelligence Artificielle
Organisations
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam Center for Language and Communication (ACLC)
Abstract
This paper describes and illustrates the use of Adpositional Argumentation (AdArg), a new formal method that enables the analyst of argumentative discourse to represent linguistic and pragmatic information in a highly detailed and yet flexible way. It first explains the theoretical starting points of the method, which is a combination of the linguistic representation framework of Constructive Adpositional Grammars (CxAdGrams) and the argument classification framework of the Periodic Table of Arguments (PTA). It then lays out the basic steps of the method and illustrates them by explaining how to build a so-called 'argumentative adpositional tree' (arg-adtree) of a concrete example of an argument.
Document type Conference contribution
Language English
Published at https://www.irit.fr/pfia2019/wp-content/uploads/2019/07/actes_JIAF_CH_PFIA2019.pdf
Downloads
GobboF-WagemansJ-AdArg-JIAF2019 (Final published version)
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