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arXiv · 2112.05438

DEBACER: a method for slicing moderated debates

Thomas Palmeira Ferraz·Alexandre Alcoforado·Enzo Bustos·André Seidel Oliveira·Rodrigo Gerber·Naíde Müller·André Corrêa d'Almeida·Bruno Miguel Veloso·Anna Helena Reali Costa
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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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Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos, André Seidel Oliveira, Rodrigo Gerber, Naíde Müller, André Corrêa d'Almeida, Bruno Miguel Veloso, Anna Helena Reali Costa. 2021-12-10. DEBACER: a method for slicing moderated debates. https://doi.org/10.5753/eniac.2021.18293

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