Complex arguments in Adpositional Argumentation (AdArg)
| Authors |
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| Publication date | 2022 |
| Host editors |
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| Book title | Proceedings of the 5th Workshop on Advances in Argumentation in Artificial Intelligence 2021 |
| Book subtitle | co-located with the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021) : Milan, Italy, November 29th, 2021 |
| Series | CEUR Workshop Proceedings |
| Event | 5th Workshop on Advances in Argumentation in Artificial Intelligence, AI^3 2021 |
| Article number | short 4 |
| Number of pages | 5 |
| Publisher | Aachen: CEUR-WS |
| Organisations |
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| Abstract |
Adpositional Argumentation (AdArg) is a new method for annotating argumentative discourse that represents linguistic and pragmatic information in argumentative adpositional trees. In this paper, we explain how the representation of claims and individual arguments provide the building blocks for more complex argumentation structures. We illustrate the abstract trees representing the systematic possibilities of a claim (one statement), minimal argument (one conclusion, one premise), convergent argumentation (one conclusion, multiple premises), as well as serial argumentation, when the same linguistic material plays the double role of the premise of a given argument and the conclusion of a subargument.
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| Document type | Conference contribution |
| Language | English |
| Published at | http://ceur-ws.org/Vol-3086/short4.pdf |
| Other links | http://ceur-ws.org/Vol-3086/ |
| Downloads |
short4
(Final published version)
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| Permalink to this page | |
