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 - Vol. 1
- 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:
- 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 - Vol. 1, 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.propor-1.31.pdf