Enregistré dans:
Détails bibliographiques
Auteurs principaux: de Souza, Klaywert Danillo Ferreira, Pereira, David Eduardo, Campelo, Cláudio E. C., Vasconcelos, Larissa Lucena
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:https://arxiv.org/abs/2603.05459
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866913074840076288
author de Souza, Klaywert Danillo Ferreira
Pereira, David Eduardo
Campelo, Cláudio E. C.
Vasconcelos, Larissa Lucena
author_facet de Souza, Klaywert Danillo Ferreira
Pereira, David Eduardo
Campelo, Cláudio E. C.
Vasconcelos, Larissa Lucena
contents The process of debating is essential in our daily lives, whether in studying, work activities, simple everyday discussions, political debates on TV, or online discussions on social networks. The range of uses for debates is broad. Due to the diverse applications, structures, and formats of debates, developing corpora that account for these variations can be challenging, and the scarcity of debate corpora in the state of the art is notable. For this reason, the current research proposes the DEBISS corpus: a collection of spoken and individual debates with semi-structured features. With a broad range of NLP task annotations, such as speech-to-text, speaker diarization, argument mining, and debater quality assessment.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05459
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle DEBISS: a Corpus of Individual, Semi-structured and Spoken Debates
de Souza, Klaywert Danillo Ferreira
Pereira, David Eduardo
Campelo, Cláudio E. C.
Vasconcelos, Larissa Lucena
Computation and Language
Databases
The process of debating is essential in our daily lives, whether in studying, work activities, simple everyday discussions, political debates on TV, or online discussions on social networks. The range of uses for debates is broad. Due to the diverse applications, structures, and formats of debates, developing corpora that account for these variations can be challenging, and the scarcity of debate corpora in the state of the art is notable. For this reason, the current research proposes the DEBISS corpus: a collection of spoken and individual debates with semi-structured features. With a broad range of NLP task annotations, such as speech-to-text, speaker diarization, argument mining, and debater quality assessment.
title DEBISS: a Corpus of Individual, Semi-structured and Spoken Debates
topic Computation and Language
Databases
url https://arxiv.org/abs/2603.05459