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.
Mancini Eleonora, R.F. (2022). Multimodal Argument Mining: A Case Study in Political Debates. International Conference on Computational Linguistics.
Multimodal Argument Mining: A Case Study in Political Debates
Mancini EleonoraPrimo
;Ruggeri Federico
;Galassi Andrea;Torroni Paolo
2022
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.File in questo prodotto:
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