Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss?
Elisabetta Fersini, Luca Rosato, Antonio Candelieri, Francesco Archetti, Enza Messina
- Anthology ID:
- 2021.clicit-1.56
- Volume:
- Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)
- Month:
- June
- Year:
- 2021
- Address:
- Milan, Italy
- Editors:
- Elisabetta Fersini, Marco Passarotti, Viviana Patti
- Venue:
- CLiC-it
- SIG:
- Publisher:
- CEUR Workshop Proceedings
- Note:
- Pages:
- 374–379
- Language:
- URL:
- https://preview.aclanthology.org/ingest-emnlp/2021.clicit-1.56/
- DOI:
- Cite (ACL):
- Elisabetta Fersini, Luca Rosato, Antonio Candelieri, Francesco Archetti, and Enza Messina. 2021. Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss?. In Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021), pages 374–379, Milan, Italy. CEUR Workshop Proceedings.
- Cite (Informal):
- Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss? (Fersini et al., CLiC-it 2021)
- PDF:
- https://preview.aclanthology.org/ingest-emnlp/2021.clicit-1.56.pdf