Abstract
This paper presents contributions in two directions: first we propose a new system for Frame Identification (FI), based on pre-trained text encoders trained discriminatively and graphs embedding, producing state of the art performance and, second, we take in consideration all the extremely different procedures used to evaluate systems for this task performing a complete evaluation over two benchmarks and all possible splits and cleaning procedures used in the FI literature.- Anthology ID:
- 2022.lrec-1.178
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 1671–1679
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.178
- DOI:
- Cite (ACL):
- Fabio Tamburini. 2022. Combining ELECTRA and Adaptive Graph Encoding for Frame Identification. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1671–1679, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Combining ELECTRA and Adaptive Graph Encoding for Frame Identification (Tamburini, LREC 2022)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2022.lrec-1.178.pdf
- Code
- ftamburin/electra-age_fe