Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models?

Gabriel Assis, Annie Amorim, Jonnatahn Carvalho, Daniel de Oliveira, Daniela Vianna, Aline Paes


Anthology ID:
2024.propor-1.31
Volume:
Proceedings of the 16th International Conference on Computational Processing of Portuguese
Month:
March
Year:
2024
Address:
Santiago de Compostela, Galicia/Spain
Editors:
Pablo Gamallo, Daniela Claro, António Teixeira, Livy Real, Marcos Garcia, Hugo Gonçalo Oliveira, Raquel Amaro
Venue:
PROPOR
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
301–311
Language:
URL:
https://aclanthology.org/2024.propor-1.31
DOI:
Bibkey:
Cite (ACL):
Gabriel Assis, Annie Amorim, Jonnatahn Carvalho, Daniel de Oliveira, Daniela Vianna, and Aline Paes. 2024. Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models?. In Proceedings of the 16th International Conference on Computational Processing of Portuguese, pages 301–311, Santiago de Compostela, Galicia/Spain. Association for Computational Lingustics.
Cite (Informal):
Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models? (Assis et al., PROPOR 2024)
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PDF:
https://aclanthology.org/2024.propor-1.31.pdf