@inproceedings{mancini-etal-2022-multimodal,
title = "Multimodal Argument Mining: A Case Study in Political Debates",
author = "Mancini, Eleonora and
Ruggeri, Federico and
Galassi, Andrea and
Torroni, Paolo",
editor = "Lapesa, Gabriella and
Schneider, Jodi and
Jo, Yohan and
Saha, Sougata",
booktitle = "Proceedings of the 9th Workshop on Argument Mining",
month = oct,
year = "2022",
address = "Online and in Gyeongju, Republic of Korea",
publisher = "International Conference on Computational Linguistics",
url = "https://aclanthology.org/2022.argmining-1.15/",
pages = "158--170",
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."
}
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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)
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.