# _VivesDebate_: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament
Finally, the latest Argument Generation research proposals explore the use of DL architectures to automatically generate natural language arguments [18; 23] rather than using templates or retrieving arguments from a database. Thus, this trend of applying, adapting and proposing new state-of-the-art approaches to computational argumentation research makes the creation of new high-quality large corpora a priority. From the publicly available resources for computational argumentation research, it is possible to observe a strong trade-off between the size of the corpora and the _quality_ of the annotations. We understand the term _quality_ in this situation as the depth that annotations present from an argumentative viewpoint. The majority of the most extensive corpora available for computational argumentation research are usually focused on a very specific argumentative concept (e.g., segmentation, argument component identification, etc. ), and only consider short pieces of argumentative text, which makes it possible to simplify (or even automate) the annotation process. However, these simplifications imply a significant loss of context and information from the annotated arguments. The main objective of this article is to present _VivesDebate_, a new annotated argumentative multilingual corpus from debate tournaments. For that purpose, the contribution of this paper is threefold: (i) the creation of a new resource for computational argumentation research; (ii) the description of the annotation guidelines followed in the creation of the corpus; and (iii) the comparison and review of ten of the most relevant corpora for compu  
Figure 1: General pipeline for Computational Argumentation tasks. tational argumentation research. The _VivesDebate_ corpus has been created based on three main aspects that are of paramount importance in recent developments in AI and computational argumentation: the size, the quality, and the versatility provided by the corpus in its different possible uses. The _VivesDebate_ corpus has a total of _139,756_ words from 29 annotated debates from the 2019 university debate tournament organised by the _\"Xarxa Vives d'universitats\"_ ([[https://www.vives.org/programes/estudiants/Illiga-debat-universitaria/](https://www.vives.org/programes/estudiants/Illiga-debat-universitaria/)]([https://www.vives.org/programes/estudiants/Illiga-debat-universitaria/](https://www.vives.org/programes/estudiants/Illiga-debat-universitaria/)), accessed on 2 August 2021). Each debate is annotated in its complete form, making it possible to keep the complete structure of the arguments raised in the course of the debate. Thus, the presented corpus is a relevant contribution to most of the main computational argumentation tasks such as Argument Mining, argument representation and analysis, argument solving, and Argument Generation and summarisation. Furthermore, the debates have been machine-translated from their original language (i.e., Catalan) to Spanish and English languages. The _VivesDebate_ corpus is released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license (CC BY-NC-SA 4.0) and can be freely downloaded from Zenodo ([[https://doi.org/10.5281/zenodo.5145656](https://doi.org/10.5281/zenodo.5145656)]([https://doi.org/10.5281/zenodo.5145656](https://doi.org/10.5281/zenodo.5145656)), accessed on 2 August 2021). The rest of the paper is structured as follows. Section 2 defines professional debate tournaments and their structure, from which our corpus has been created. Section 3 thoroughly describes the methodology followed during the annotation process. Section 4 analyses the _VivesDebate_ corpus and presents its most relevant features. Section 5 analyses and compares the most important existing corpora for computational argumentation research. Finally, Section 6 highlights the main conclusions and the future research that will take this corpus as its starting point.