Multimodal Argument Mining: A Case Study in Political Debates
2022-10-01ArgMining (ACL) 2022Code Available0· sign in to hype
Eleonora Mancini, Federico Ruggeri, Andrea Galassi, Paolo Torroni
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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.