AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, Carlos Ramisch
Abstract
This paper explains our participation in task 1 of the CASE 2021 shared task. This task is about multilingual event extraction from news. We focused on sub-task 4, event information extraction. This sub-task has a small training dataset and we fine-tuned a multilingual BERT to solve this sub-task. We studied the instability problem on the dataset and tried to mitigate it.- Anthology ID:
- 2021.case-1.21
- Volume:
- Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editor:
- Ali Hürriyetoğlu
- Venue:
- CASE
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 161–170
- Language:
- URL:
- https://aclanthology.org/2021.case-1.21
- DOI:
- 10.18653/v1/2021.case-1.21
- Cite (ACL):
- Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, and Carlos Ramisch. 2021. AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT. In Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021), pages 161–170, Online. Association for Computational Linguistics.
- Cite (Informal):
- AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT (Bouscarrat et al., CASE 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.case-1.21.pdf
- Code
- euranova/AMU-EURANOVA-CASE-2021
- Data
- CoNLL 2002, CoNLL 2003