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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.
Original languageEnglish
Title of host publicationENIAC 2021
Subtitle of host publicationXVIII encontro nacional de inteligência artificial e computacional. 18th national meeting on artificial and computational intelligence
EditorsElaine Ribeiro de Faria, Paulo de Tarso Guerra
PublisherSociedade Brasileira de Computação
Pages667-678
Number of pages12
DOIs
Publication statusPublished - 29 Nov 2021

Keywords

  • Language processing
  • Political documents
  • Spoken text processing
  • Speech split
  • Dialogue partitioning

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