UNITOR @ DANKMEME: Combining Convolutional Models and Transformer-based architectures for accurate MEME management

Claudia Breazzano, Edoardo Rubino, Danilo Croce, Roberto Basili


Anthology ID:
2020.evalita-1.46
Volume:
Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)
Month:
December
Year:
2020
Address:
Online
Editors:
Valerio Basile, Danilo Croce, Maria Di Maro, Lucia C. Passaro
Venues:
EVALITA | WS
SIG:
Publisher:
CEUR Workshop Proceedings
Note:
Pages:
271–277
Language:
URL:
https://aclanthology.org/2020.evalita-1.46/
DOI:
Bibkey:
Cite (ACL):
Claudia Breazzano, Edoardo Rubino, Danilo Croce, and Roberto Basili. 2020. UNITOR @ DANKMEME: Combining Convolutional Models and Transformer-based architectures for accurate MEME management. In Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), pages 271–277, Online. CEUR Workshop Proceedings.
Cite (Informal):
UNITOR @ DANKMEME: Combining Convolutional Models and Transformer-based architectures for accurate MEME management (Breazzano et al., EVALITA 2020)
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PDF:
https://aclanthology.org/2020.evalita-1.46.pdf