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DEBACER: a method for slicing moderated debates

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.

preprint2021arXivOpen access
Thomas Palmeira FerrazAlexandre AlcoforadoEnzo BustosAndré Seidel OliveiraRodrigo GerberNaíde MüllerAndré Corrêa d'AlmeidaBruno Miguel VelosoAnna Helena Reali Costa
Computation and LanguageMachine LearningArtificial Intelligence
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Open access9 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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Thomas Palmeira FerrazAlexandre AlcoforadoEnzo BustosAndré Seidel OliveiraRodrigo GerberNaíde MüllerAndré Corrêa d'AlmeidaBruno Miguel VelosoAnna Helena Reali Costa

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