A method for reconstructing first-order arguments in natural language
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| Publication date | 2019 |
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| 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 |
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| 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.
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| 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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