VivesDebate: A new annotated multilingual corpus of argumentation in a debate tournament'.

The application of the latest Natural Language Processing breakthroughs in computational argumentation has shown promising results, which have raised the interest in this area of research. However, the available corpora with argumentative annotations are often limited to a very specific purpose or a...

Descripción completa

Detalles Bibliográficos
Autores: Ruiz-Dolz, Ramon, Nofre, Montserrat, Taulé Delor, Mariona, Heras, Stella, García-Fornes, Ana
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/182554
Acceso en línea:https://hdl.handle.net/2445/182554
Access Level:acceso abierto
Palabra clave:Debats
Oratòria
Argumentació (Lingüística)
Corpus (Lingüística)
Tractament del llenguatge natural (Informàtica)
Debates
Oratory
Argumentation (Linguistics)
Corpora (Linguistics)
Natural language processing (Computer science)
Descripción
Sumario:The application of the latest Natural Language Processing breakthroughs in computational argumentation has shown promising results, which have raised the interest in this area of research. However, the available corpora with argumentative annotations are often limited to a very specific purpose or are not of adequate size to take advantage of state-of-the-art deep learning techniques (e.g., deep neural networks). In this paper, we present VivesDebate, a large, richly annotated and versatile professional debate corpus for computational argumentation research. The corpus has been created from 29 transcripts of a debate tournament in Catalan and has been machine-translated into Spanish and English. The annotation contains argumentative propositions, argumentative relations, debate interactions and professional evaluations of the arguments and argumentation. The presented corpus can be useful for research on a heterogeneous set of computational argumentation underlying tasks such as Argument Mining, Argument Analysis, Argument Evaluation or Argument Generation, among others. All this makes VivesDebate a valuable resource for computational argumentation research within the context of massive corpora aimed at Natural Language Processing tasks.