Paper[edit]

Paper
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description	scientific paper published in CEUR-WS Volume 3197
id	Vol-3197/invited3
wikidataid	Q117341846→Q117341846
title	Fallacious Arguments: the Place where Knowledge Representation and Argument Mining Meet Each Other
pdfUrl	https://ceur-ws.org/Vol-3197/invited3.pdf
dblpUrl	https://dblp.org/rec/conf/nmr/Villata22
volume	Vol-3197→Vol-3197
session	→

Fallacious Arguments: the Place where Knowledge Representation and Argument Mining Meet Each Other[edit]

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Fallacious Arguments: the Place Where Knowledge
Representation and Argument Mining Meet Each
Other
Serena Villata
CNRS - Laboratoire d’Informatique, Signaux et Systèmes de Sophia-Antipolis, France




1. Abstract
Fallacies play a prominent role in argumentation since antiquity due to their contribution to
argumentation in critical thinking education. They are defined as "derailments of strategic
manoeuvring", meaning speech acts that violate the rules of a rational argumentative discussion
for assumed persuasive gains. These derailments are particularly significant in political discourse,
and the role of fallacies is becoming even more crucial nowadays as contemporary argumentation
technologies face challenging tasks as misleading and manipulative information detection in
news articles and political discourse, and counter-narrative generation. In this talk, I will discuss
some solutions to identify automatically fallacious arguments in political debates, focusing on
the prominent role of knowledge and reasoning in this challenging task.




NMR 2022: 20th International Workshop on Non-Monotonic Reasoning, August 07–09, 2022, Haifa, Israel
" serena.villata@inria.fr (S. Villata)
~ https://www.i3s.unice.fr/~villata/Home.html (S. Villata)
� 0000-0003-3495-493X (S. Villata)
                                    © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
 CEUR
 Workshop
 Proceedings
               http://ceur-ws.org
               ISSN 1613-0073
                                    CEUR Workshop Proceedings (CEUR-WS.org)




                                                                                                        3
�

Fallacious Arguments: the Place where Knowledge Representation and Argument Mining Meet Each Other[edit]

The last editor of this page did not have the right to Embed PDFs into pages.

Fallacious Arguments: the Place Where Knowledge
Representation and Argument Mining Meet Each
Other
Serena Villata
CNRS - Laboratoire d’Informatique, Signaux et Systèmes de Sophia-Antipolis, France




1. Abstract
Fallacies play a prominent role in argumentation since antiquity due to their contribution to
argumentation in critical thinking education. They are defined as "derailments of strategic
manoeuvring", meaning speech acts that violate the rules of a rational argumentative discussion
for assumed persuasive gains. These derailments are particularly significant in political discourse,
and the role of fallacies is becoming even more crucial nowadays as contemporary argumentation
technologies face challenging tasks as misleading and manipulative information detection in
news articles and political discourse, and counter-narrative generation. In this talk, I will discuss
some solutions to identify automatically fallacious arguments in political debates, focusing on
the prominent role of knowledge and reasoning in this challenging task.




NMR 2022: 20th International Workshop on Non-Monotonic Reasoning, August 07–09, 2022, Haifa, Israel
" serena.villata@inria.fr (S. Villata)
~ https://www.i3s.unice.fr/~villata/Home.html (S. Villata)
� 0000-0003-3495-493X (S. Villata)
                                    © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
 CEUR
 Workshop
 Proceedings
               http://ceur-ws.org
               ISSN 1613-0073
                                    CEUR Workshop Proceedings (CEUR-WS.org)




                                                                                                        3
�