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.
Cite
@article{arxiv.2112.05438,
title = {DEBACER: a method for slicing moderated debates},
author = {Thomas Palmeira Ferraz and Alexandre Alcoforado and Enzo Bustos and André Seidel Oliveira and Rodrigo Gerber and Naíde Müller and André Corrêa d'Almeida and Bruno Miguel Veloso and Anna Helena Reali Costa},
journal= {arXiv preprint arXiv:2112.05438},
year = {2022}
}
Comments
Accepted on The 18th National Meeting on Artificial and Computational Intelligence (ENIAC 2021)