Noisy self-training with data augmentations for offensive and hate speech detection tasks (2023)
Source: Proceedings. Conference titles: International Conference on Recent Advances in Natural Language Processing - RANLP. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, PORTUGUÊS DO BRASIL, ÓDIO
ABNT
LEITE, João A e SCARTON, Carolina Evaristo e SILVA, Diego Furtado. Noisy self-training with data augmentations for offensive and hate speech detection tasks. 2023, Anais.. Shoumen: INCOMA, 2023. Disponível em: http://ranlp.org/ranlp2023/index.php/proceedings/. Acesso em: 21 ago. 2024.APA
Leite, J. A., Scarton, C. E., & Silva, D. F. (2023). Noisy self-training with data augmentations for offensive and hate speech detection tasks. In Proceedings. Shoumen: INCOMA. Recuperado de http://ranlp.org/ranlp2023/index.php/proceedings/NLM
Leite JA, Scarton CE, Silva DF. Noisy self-training with data augmentations for offensive and hate speech detection tasks [Internet]. Proceedings. 2023 ;[citado 2024 ago. 21 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/Vancouver
Leite JA, Scarton CE, Silva DF. Noisy self-training with data augmentations for offensive and hate speech detection tasks [Internet]. Proceedings. 2023 ;[citado 2024 ago. 21 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/