Dataset and codes in support of the conference paper 'Multimodal-USElecDeb60To16'
Dataset and codes in support of the conference paper 'Multimodal-USElecDeb60To16'
Dataset and codes for the Multimodal USElecDeb60To16 dataset, released in the paper "Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates", published at the Findings of the 17th conference on European chapter of the Association for Computational Linguistics (EACL) in 2023.
University of Southampton
Mestre, Rafael
33721a01-ab1a-4f71-8b0e-abef8afc92f3
Middleton, Stuart
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Ryan, Matthew
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Gheasi, Masood
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Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Zhu, Jiatong
52569115-5d72-4fc0-8876-a66b991ed209
Mestre, Rafael
33721a01-ab1a-4f71-8b0e-abef8afc92f3
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Ryan, Matthew
f07cd3e8-f3d9-4681-9091-84c2df07cd54
Gheasi, Masood
0e1a0af4-3f82-4498-a5e5-4f7f7618d68e
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Zhu, Jiatong
52569115-5d72-4fc0-8876-a66b991ed209
Mestre, Rafael, Middleton, Stuart and Ryan, Matthew
(2023)
Dataset and codes in support of the conference paper 'Multimodal-USElecDeb60To16'.
University of Southampton
doi:10.5281/zenodo.7628464
[Dataset]
Abstract
Dataset and codes for the Multimodal USElecDeb60To16 dataset, released in the paper "Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates", published at the Findings of the 17th conference on European chapter of the Association for Computational Linguistics (EACL) in 2023.
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Published date: 10 February 2023
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Local EPrints ID: 474714
URI: http://eprints.soton.ac.uk/id/eprint/474714
PURE UUID: b29f8b9c-1703-46af-b73c-a94527f78217
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Date deposited: 01 Mar 2023 18:04
Last modified: 06 May 2023 02:03
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Contributor:
Jiatong Zhu
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