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://preview.aclanthology.org/revision-workflow/2020.evalita-1.46/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/revision-workflow/2020.evalita-1.46.pdf