DEBACER: a method for slicing moderated debates

• URL: http://arxiv.org/abs/2112.05438v1
• Date: Fri, 10 Dec 2021 10:39:07 GMT
• Title: DEBACER: a method for slicing moderated debates
• Authors: Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos, Andr\'e Seidel Oliveira, Rodrigo Gerber, Na\'ide M\"uller, Andr\'e Corr\^ea d'Almeida, Bruno Miguel Veloso, Anna Helena Reali Costa
• Abstract summary: Partitioning debates into blocks with the same subject is essential for understanding. We propose a new algorithm, DEBACER, which partitions moderated debates.
• Score: 55.705662163385966
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Subjects change frequently in moderated debates with several participants, such as in parliamentary sessions, electoral debates, and trials. Partitioning a debate into blocks with the same subject is essential for understanding. Often a moderator is responsible for defining when a new block begins so that the task of automatically partitioning a moderated debate can focus solely on the moderator's behavior. In this paper, we (i) propose a new algorithm, DEBACER, which partitions moderated debates; (ii) carry out a comparative study between conventional and BERTimbau pipelines; and (iii) validate DEBACER applying it to the minutes of the Assembly of the Republic of Portugal. Our results show the effectiveness of DEBACER. Keywords: Natural Language Processing, Political Documents, Spoken Text Processing, Speech Split, Dialogue Partitioning.

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