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VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
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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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Cited by 1 Pith paper
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DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models
A long-context benchmark of 32 competitive debates with official judge scores shows that leading language models still struggle to reproduce expert adjudication.
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