M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts. - Rafael Mestre; Razvan Milicin; Stuart Middleton; Matt Ryan; Jiatong Zhu; Timothy J. Norman (ArgMining@EMNLP, 2021)

Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates. - Rafael Mestre; Stuart Middleton; Matt Ryan; Masood Gheasi; Timothy J. Norman; Jiatong Zhu (EACL (Findings), 2023)