On natural language generation of formal argumentation
On natural language generation of formal argumentation
In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces. It is a generally held opinion that formal models of argumentation naturally capture human argument, and some preliminary studies have focused on justifying this view. Unfortunately, the results are not only inconclusive, but seem to suggest that explaining formal argumentation to humans is a rather articulated task. Graphical models for expressing argumentation-based reasoning are appealing, but often humans require significant training to use these tools effectively. We claim that natural language interfaces to formal argumentation systems offer a real alternative, and may be the way forward for systems that capture human argument.
15-29
CEUR Workshop Proceedings
Cerutti, Federico
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Toniolo, Alice
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Norman, Timothy J.
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2019
Cerutti, Federico
fec75499-632a-460f-987a-1a09420d8cb1
Toniolo, Alice
e54ad578-9232-471a-a5d7-cd3a7bc70872
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Cerutti, Federico, Toniolo, Alice and Norman, Timothy J.
(2019)
On natural language generation of formal argumentation.
In Proceedings of the 3rd Workshop on Advances In Argumentation In Artificial Intelligence.
vol. 2528,
CEUR Workshop Proceedings.
.
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Conference or Workshop Item
(Paper)
Abstract
In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces. It is a generally held opinion that formal models of argumentation naturally capture human argument, and some preliminary studies have focused on justifying this view. Unfortunately, the results are not only inconclusive, but seem to suggest that explaining formal argumentation to humans is a rather articulated task. Graphical models for expressing argumentation-based reasoning are appealing, but often humans require significant training to use these tools effectively. We claim that natural language interfaces to formal argumentation systems offer a real alternative, and may be the way forward for systems that capture human argument.
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Published date: 2019
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Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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Copyright 2020 Elsevier B.V., All rights reserved.
Venue - Dates:
3rd Workshop on Advances In Argumentation In Artificial Intelligence, AI^3 2019, , Rende, Italy, 2019-11-19 - 2019-11-22
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Local EPrints ID: 469372
URI: http://eprints.soton.ac.uk/id/eprint/469372
ISSN: 1613-0073
PURE UUID: 0a9e3c18-52f4-469c-8f24-4474dc954596
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Date deposited: 13 Sep 2022 17:03
Last modified: 08 Nov 2024 02:47
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Author:
Federico Cerutti
Author:
Alice Toniolo
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