Argumentation and machine learning
File(s)
Accepted version
Author(s)
Rago, Antonio
Cyras, Kristijonas
Mumford, Jack
Cocarascu, Oana
Type
Chapter
Abstract
In this chapter, we overview research works that combine Computational Argumentation (henceforth simply argumentation) and Machine Learning (ML). In this section, we start with a general outlook of the themes and trends prevalent among the individual works overviewed in the chapter, including a loose categorisation of three types of interactions between ML an argumentation models, before briefly covering related work and papers we chose to omit. We then move on to our literature overview in §2 which we split by broad themes of the purposes of the interactions between ML and argumentation, briefly discussing promising research avenues. Finally, we conclude in §3.
We assume the reader to be familiar with forms and frameworks of argumentation, e.g. as discussed in the 1st Volume of the Handbook of Formal Argumentation (Baroni et al., 2018), and fundamentals of and common methods in ML, as easily accessible e.g. on Wikipedia.
We assume the reader to be familiar with forms and frameworks of argumentation, e.g. as discussed in the 1st Volume of the Handbook of Formal Argumentation (Baroni et al., 2018), and fundamentals of and common methods in ML, as easily accessible e.g. on Wikipedia.
Editor(s)
Gabbay, Dov
Kern-Isberner, Gabriele
Simari, Guillermo R
Thimm, Matthias
Date Issued
2024-12-09
Citation
Handbook of Formal Argumentation Volume 3, 2024, pp.577-625
ISBN
978-1-84890-481-1
Publisher
College Publications
Start Page
577
End Page
625
Journal / Book Title
Handbook of Formal Argumentation Volume 3
Copyright Statement
© Individual authors and College Publications 2024. All rights reserved.
Sponsor
Commission of the European Communities
Grant Number
101020934
Article Number
9