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://aclanthology.org/2021.clicit-1.56/
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/2021.clicit-1.56.pdf