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. M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts. In Khalid Al Khatib, Yufang Hou 0001, Manfred Stede, editors, Proceedings of the 8th Workshop on Argument Mining, ArgMining@EMNLP 2021, Punta Cana, Dominican Republic, November 10-11, 2021. pages 78-88, Association for Computational Linguistics, 2021. [doi]

@inproceedings{MestreMMRZN21,
  title = {M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts},
  author = {Rafael Mestre and Razvan Milicin and Stuart Middleton and Matt Ryan and Jiatong Zhu and Timothy J. Norman},
  year = {2021},
  url = {https://aclanthology.org/2021.argmining-1.8},
  researchr = {https://researchr.org/publication/MestreMMRZN21},
  cites = {0},
  citedby = {0},
  pages = {78-88},
  booktitle = {Proceedings of the 8th Workshop on Argument Mining, ArgMining@EMNLP 2021, Punta Cana, Dominican Republic, November 10-11, 2021},
  editor = {Khalid Al Khatib and Yufang Hou 0001 and Manfred Stede},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-92-3},
}