Multimodal Argument Mining: A Case Study in Political Debates
Eleonora Mancini, Federico Ruggeri, Andrea Galassi, Paolo Torroni
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.- Anthology ID:
- 2022.argmining-1.15
- Volume:
- Proceedings of the 9th Workshop on Argument Mining
- Month:
- October
- Year:
- 2022
- Address:
- Online and in Gyeongju, Republic of Korea
- Editors:
- Gabriella Lapesa, Jodi Schneider, Yohan Jo, Sougata Saha
- Venue:
- ArgMining
- SIG:
- Publisher:
- International Conference on Computational Linguistics
- Note:
- Pages:
- 158–170
- Language:
- URL:
- https://aclanthology.org/2022.argmining-1.15
- DOI:
- Cite (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.
- Cite (Informal):
- Multimodal Argument Mining: A Case Study in Political Debates (Mancini et al., ArgMining 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2022.argmining-1.15.pdf
- Code
- federicoruggeri/multimodal-am