NoHateBrazil: a brazilian portuguese text offensiveness analysis system (2023)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC ; CARVALHO, ISABELLE - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; PORTUGUÊS DO BRASIL; ÓDIO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- ISSN: 2603-2813
- Conference titles: International Conference on Recent Advances in Natural Language Processing - RANLP
-
ABNT
VARGAS, Francielle Alves et al. NoHateBrazil: a brazilian portuguese text offensiveness analysis system. 2023, Anais.. Shoumen: INCOMA, 2023. Disponível em: http://ranlp.org/ranlp2023/index.php/proceedings/. Acesso em: 11 fev. 2026. -
APA
Vargas, F. A., Carvalho, I., Schmeisser-Nieto, W. S., Benevenuto, F., & Pardo, T. A. S. (2023). NoHateBrazil: a brazilian portuguese text offensiveness analysis system. In Proceedings. Shoumen: INCOMA. Recuperado de http://ranlp.org/ranlp2023/index.php/proceedings/ -
NLM
Vargas FA, Carvalho I, Schmeisser-Nieto WS, Benevenuto F, Pardo TAS. NoHateBrazil: a brazilian portuguese text offensiveness analysis system [Internet]. Proceedings. 2023 ;[citado 2026 fev. 11 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/ -
Vancouver
Vargas FA, Carvalho I, Schmeisser-Nieto WS, Benevenuto F, Pardo TAS. NoHateBrazil: a brazilian portuguese text offensiveness analysis system [Internet]. Proceedings. 2023 ;[citado 2026 fev. 11 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/ - Socially responsible hate speech detection: can classifiers reflect social stereotypes?
- Contextual-lexicon approach for abusive language detection
- HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection
- Toward discourse-aware models for multilingual fake news detection
- HausaHate: an expert annotated corpus for hausa hate speech detection
- Context-aware and expert data resources for brazilian portuguese hate speech detection
- Predicting sentence-level factuality of news and bias of media outlets
- Improving explainable fact-checking via sentence-level factual reasoning
- Discourse annotation guideline for low-resource languages
- Socially responsible and explainable automated fact-checking and hate speech detection
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