A method for reconstructing first-order arguments in natural language

Open Access
Authors
Publication date 2019
Host editors
  • P. Dondio
  • L. Longo
Book title Proceedings of the 2nd Workshop on Advances In Argumentation In Artificial Intelligence, co-located with XVII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2018)
Book subtitle 20-23 November 2018, Trento, Italy
Series CEUR Workshop Proceedings
Event AI3 2018 - 2nd Workshop on Advances in Argumentation in Artificial Intelligence
Pages (from-to) 27-41
Publisher Aachen: CEUR-WS
Organisations
  • Faculty of Humanities (FGw)
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam Center for Language and Communication (ACLC)
Abstract
This paper develops a new method for reconstructing arguments in natural language by combining the linguistic representation framework of Constructive Adpositional Grammars (CxAdGrams) with the argument classification framework of the Periodic Table of Arguments (PTA). The method centers around the notion of ‘argumentative adpositional adtree’ (‘arg-adtree’). After an explanation of the two frameworks involved, the method is illustrated by providing the arg-adtrees of two concrete examples of so-called ‘first-order arguments’. It is argued that the resulting ad-trees provide a theoretically informed and empirically reliable reconstruction of an argumentative text or discussion. As such, the method developed in this paper is especially suitable as a point of departure for developing instruments for computer-assisted argumentation analysis.
Document type Conference contribution
Language English
Published at http://ceur-ws.org/Vol-2296/AI3-2018_paper_4.pdf
Other links http://ceur-ws.org/Vol-2296/ https://www.scopus.com/pages/publications/85060063858
Downloads
AI3-2018_paper_4 (Final published version)
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