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        <name type="personal">
            <namePart type="given">Philipp</namePart>
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    <abstract>In this paper, we present our submission to the MM-ArgFallacy2025 shared task, which aims to advance research in multimodal argument mining, focusing on logical fallacies in political debates. Our approach uses pretrained Transformer-based models and proposes several ways to leverage context. In the fallacy classification subtask, our models achieved macro F1-scores of 0.4444 (text), 0.3559 (audio), and 0.4403 (multimodal). Our multimodal model showed performance comparable to the text-only model, suggesting potential for improvements.</abstract>
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%0 Conference Proceedings
%T Leveraging Context for Multimodal Fallacy Classification in Political Debates
%A Pittiglio, Alessio
%Y Chistova, Elena
%Y Cimiano, Philipp
%Y Haddadan, Shohreh
%Y Lapesa, Gabriella
%Y Ruiz-Dolz, Ramon
%S Proceedings of the 12th Argument mining Workshop
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-258-9
%F pittiglio-2025-leveraging
%X In this paper, we present our submission to the MM-ArgFallacy2025 shared task, which aims to advance research in multimodal argument mining, focusing on logical fallacies in political debates. Our approach uses pretrained Transformer-based models and proposes several ways to leverage context. In the fallacy classification subtask, our models achieved macro F1-scores of 0.4444 (text), 0.3559 (audio), and 0.4403 (multimodal). Our multimodal model showed performance comparable to the text-only model, suggesting potential for improvements.
%R 10.18653/v1/2025.argmining-1.39
%U https://aclanthology.org/2025.argmining-1.39/
%U https://doi.org/10.18653/v1/2025.argmining-1.39
%P 388-397

Markdown (Informal)

[Leveraging Context for Multimodal Fallacy Classification in Political Debates](https://aclanthology.org/2025.argmining-1.39/) (Pittiglio, ArgMining 2025)

• Leveraging Context for Multimodal Fallacy Classification in Political Debates (Pittiglio, ArgMining 2025)

ACL

• Alessio Pittiglio. 2025. Leveraging Context for Multimodal Fallacy Classification in Political Debates. In Proceedings of the 12th Argument mining Workshop, pages 388–397, Vienna, Austria. Association for Computational Linguistics.