The University of Southampton
University of Southampton Institutional Repository

On natural language generation of formal argumentation

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.

1613-0073
15-29
CEUR Workshop Proceedings
Cerutti, Federico
fec75499-632a-460f-987a-1a09420d8cb1
Toniolo, Alice
e54ad578-9232-471a-a5d7-cd3a7bc70872
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
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. pp. 15-29 .

Record type: 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.

Text
2_Cerutti_et_al_AI3_2019
Available under License Creative Commons Attribution.
Download (872kB)

More information

Published date: 2019
Additional Information: Publisher Copyright: Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Copyright: 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

Identifiers

Local EPrints ID: 469372
URI: http://eprints.soton.ac.uk/id/eprint/469372
ISSN: 1613-0073
PURE UUID: 0a9e3c18-52f4-469c-8f24-4474dc954596
ORCID for Timothy J. Norman: ORCID iD orcid.org/0000-0002-6387-4034

Catalogue record

Date deposited: 13 Sep 2022 17:03
Last modified: 08 Nov 2024 02:47

Export record

Contributors

Author: Federico Cerutti
Author: Alice Toniolo

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×