Search Results for author: Thiago Alexandre Salgueiro Pardo

Found 5 papers, 1 papers with code

Contextual-Lexicon Approach for Abusive Language Detection

no code implementations RANLP 2021 Francielle Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo

Since a lexicon-based approach is more elegant scientifically, explaining the solution components and being easier to generalize to other applications, this paper provides a new approach for offensive language and hate speech detection on social media.

Abusive Language Hate Speech Detection

HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection

no code implementations LREC 2022 Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo

Due to the severity of the social media offensive and hateful comments in Brazil, and the lack of research in Portuguese, this paper provides the first large-scale expert annotated corpus of Brazilian Instagram comments for hate speech and offensive language detection.

BIG-bench Machine Learning Binary Classification +1

Studying Dishonest Intentions in Brazilian Portuguese Texts

no code implementations13 Aug 2020 Francielle Alves Vargas, Thiago Alexandre Salgueiro Pardo

Previous work in the social sciences, psychology and linguistics has show that liars have some control over the content of their stories, however their underlying state of mind may "leak out" through the way that they tell them.

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