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    <abstract>We propose a study on multimodal argument mining in the domain of political debates. We collate and extend existing corpora and provide an initial empirical study on multimodal architectures, with a special emphasis on input encoding methods. Our results provide interesting indications about future directions in this important domain.</abstract>
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%0 Conference Proceedings
%T Multimodal Argument Mining: A Case Study in Political Debates
%A Mancini, Eleonora
%A Ruggeri, Federico
%A Galassi, Andrea
%A Torroni, Paolo
%Y Lapesa, Gabriella
%Y Schneider, Jodi
%Y Jo, Yohan
%Y Saha, Sougata
%S Proceedings of the 9th Workshop on Argument Mining
%D 2022
%8 October
%I International Conference on Computational Linguistics
%C Online and in Gyeongju, Republic of Korea
%F mancini-etal-2022-multimodal
%X We propose a study on multimodal argument mining in the domain of political debates. We collate and extend existing corpora and provide an initial empirical study on multimodal architectures, with a special emphasis on input encoding methods. Our results provide interesting indications about future directions in this important domain.
%U https://aclanthology.org/2022.argmining-1.15
%P 158-170

Markdown (Informal)

[Multimodal Argument Mining: A Case Study in Political Debates](https://aclanthology.org/2022.argmining-1.15) (Mancini et al., ArgMining 2022)

• Multimodal Argument Mining: A Case Study in Political Debates (Mancini et al., ArgMining 2022)

ACL

• Eleonora Mancini, Federico Ruggeri, Andrea Galassi, and Paolo Torroni. 2022. Multimodal Argument Mining: A Case Study in Political Debates. In Proceedings of the 9th Workshop on Argument Mining, pages 158–170, Online and in Gyeongju, Republic of Korea. International Conference on Computational Linguistics.