Contextual-Lexicon Approach for Abusive Language Detection

1 code implementation • 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

Identifying Offensive Expressions of Opinion in Context

no code implementations • 25 Apr 2021 • Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes

Classic information extraction techniques consist in building questions and answers about the facts.

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