mlsanityData to 14 Oct 2026

DEBACER: a method for slicing moderated debates

arXiv 2112.05438 ↗First posted 10 Dec 2021cs.AI cs.CL cs.LGcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 10 Dec 2021.

Builds on

8 of 19 references.

References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  3. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  4. 2014Distributed Representations of Sentences and Documentscited by 678
  5. 2018Deep learning for time series classification: a reviewcited by 576
  6. 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
  7. 2020DebateSum: A large-scale argument mining and summarization datasetcited by 34
  8. 2020A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Trackingcited by 20

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Cited by year

Citing papers per year: 2022: 2; 2023: 1; 2024: 3.

6 papers.

  1. 2022ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modelingcited by 7
  2. 2024From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learningcited by 1
  3. 2024No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Textscited by 1
  4. 2022Tracking environmental policy changes in the Brazilian Federal Official Gazettecited by 0
  5. 2023Science and engineering for what? A large-scale analysis of students' projects in science fairscited by 0
  6. 2024Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Mediacited by 0