# _VivesDebate_: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament
## 6 Conclusions  
In this paper, we describe _VivesDebate_, a new annotated multilingual corpus of argumentation created from debate tournament transcripts. This work represents a major step forward in publicly available resources for computational argumentation research. Next, we summarise the main improvements brought about by the creation of this corpus. First, because of its size. The _VivesDebate_ corpus is, to the best of our knowledge, one of the largest publicly available resources annotated with relevant argumentative propositions, and argumentative and dialogical relations. With a total of _139,756_ words and \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Research** & **Identifier** & **Format** & **Source** & **Domain** & **Tasks** & **Language** & **Size** & **Annotation Ratio** \\ \hline
[34] & Persusasive Essays & M & T & Online Forum & AM & EN & 34,917 (W) & 388 w/d \\
[35] & Microteeks & M & T & Controlled Experiment & AM & EN + DE & 576 (S) & 5 s/d \\
[33] & DMC & D & S & Academic + Online + Professional & AM + AA & EN & 18,628 (W) & 14 w/d \\
[36] & CDCP & D & T & Online Forum & AM + AE & EN & 93491 (S) & 6.7 s/d \\
[37] & GPR-KB-55 & D & S & Competitive Debate & AG & EN & 12,431 (S) & 41 w/d \\
[32] & US2016 & D & T + S & Political + Online & AM + AA & EN & 97,999 (W) & 189 w/d \\
[32] & US2016 FV & D & S & Political & AM + AA & EN & 58,900 (W) & 489 w/d \\
[33] & US2016 Reddit & D & T & Online Forum & AM + AA & EN & 39,099 (W) & 137 w/d \\
[38] & DebateSum & D & S & Competitive Debate & AS & EN & 101M (W) & 250 w/d \\
[39] & ReCAP & M & T & Political & AM + AA & DE + EN(T) & 16,700 (W) & 150 w/d \\ \hline  & _VivesDebate_ & D & S & Competitive Debate & AM + AA + AE + AG/AS & CAT + ES(T) + EN(T) & 139,756 (W) & 4819 w/d \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Comparison of computational argumentation corpora. (*) Automatically translated languages. an argument density of 0.091, in addition to its size, the _VivesDebate_ corpus also improves the previously available argumentation corpora in terms of their density. Second, because of the quality of the argumentative reasoning data. The _VivesDebate_ corpus has been created from the transcripts of 29 complete competitive debates. Annotating spoken argumentation is usually harder and more expensive than textual argumentation, so the majority of the publicly available corpora for computational argumentation research are created from social networks and online forum debates. Furthermore, most of the available spoken argumentation corpora are from the political debate domain, which does not have a solid structure and the quality of argumentation is harder to evaluate. By creating a new corpus from the transcripts of a debate tournament, the improvement of the argumentative quality compared to previously available corpora is threefold: (i) debate tournaments have a well-defined argumentation structure, which eases their modelling; (ii) the only motivation behind the debates is the argumentation itself, so that participants need to argue using the strongest arguments and present a coherent reasoning to win the debate; and (iii) the debates are objectively evaluated by an impartial jury, analysing parameters that are directly related to the quality of arguments and argumentation. Third, because of its versatility. The size, the structure, the annotations, and the content of the _VivesDebate_ corpus make it useful for a wide range of argumentative tasks such as argumentative language modelling, the automatic identification of ADUs in an argumentative dialogue (i.e., Argument Mining), the elaboration and analysis of complex argument graphs (i.e., Argument Analysis), the automatic evaluation of arguments and argumentative reasoning (i.e., Argument Evaluation), and the automatic generation of argument summaries (i.e., Argument Generation/Argument Summarising).