@inproceedings{ruiz-dolz-sanchez-2023-vivesdebate,
title = "{V}ives{D}ebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining",
author = "Ruiz-Dolz, Ramon and
Iranzo-S{\'a}nchez, Javier",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.128",
doi = "10.18653/v1/2023.emnlp-main.128",
pages = "2071--2077",
abstract = "In this paper, we describe VivesDebate-Speech, a corpus of spoken argumentation created to leverage audio features for argument mining tasks. The creation of this corpus represents an important contribution to the intersection of speech processing and argument mining communities, and one of the most complete publicly available resources in this topic. Moreover, we have performed a set of first-of-their-kind experiments which show an improvement when integrating audio features into the argument mining pipeline. The provided results can be used as a baseline for future research.",
}
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%0 Conference Proceedings
%T VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
%A Ruiz-Dolz, Ramon
%A Iranzo-Sánchez, Javier
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F ruiz-dolz-sanchez-2023-vivesdebate
%X In this paper, we describe VivesDebate-Speech, a corpus of spoken argumentation created to leverage audio features for argument mining tasks. The creation of this corpus represents an important contribution to the intersection of speech processing and argument mining communities, and one of the most complete publicly available resources in this topic. Moreover, we have performed a set of first-of-their-kind experiments which show an improvement when integrating audio features into the argument mining pipeline. The provided results can be used as a baseline for future research.
%R 10.18653/v1/2023.emnlp-main.128
%U https://aclanthology.org/2023.emnlp-main.128
%U https://doi.org/10.18653/v1/2023.emnlp-main.128
%P 2071-2077
Markdown (Informal)
[VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining](https://aclanthology.org/2023.emnlp-main.128) (Ruiz-Dolz & Iranzo-Sánchez, EMNLP 2023)
ACL