DEBACER: a method for slicing moderated debates

  • Thomas Palmeira Ferraz USP
  • Alexandre Alcoforado USP
  • Enzo Bustos USP
  • André Seidel Oliveira USP
  • Rodrigo Gerber USP
  • Naíde Müller Catholic University of Portugal
  • André Corrêa d’Almeida Columbia University
  • Bruno Miguel Veloso Universidade Portucalense / INESC TEC
  • Anna Helena Reali Costa USP


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.

Palavras-chave: Language Processing, Political Documents, Spoken Text Processing, Speech Split, Dialogue Partitioning


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FERRAZ, Thomas Palmeira et al. DEBACER: a method for slicing moderated debates. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 18. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 667-678. ISSN 2763-9061. DOI:

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