Skip to content

AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT

This paper explains our participation in task 1of the CASE 2021 shared task. This task is about multilingual event extraction from the 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.

Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, Carlos Ramisch, AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT, In Proc. of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021). Association for Computational Linguistics (ACL), 2021.

Click here to access the paper.

Releated Posts

Development & Evaluation of Automated Tumour Monitoring by Image Registration Based on 3D (PET/CT) Images

Tumor tracking in PET/CT is essential for monitoring cancer progression and guiding treatment strategies. Traditionally, nuclear physicians manually track tumors, focusing on the five largest ones (PERCIST criteria), which is both time-consuming and imprecise. Automated tumor tracking can allow matching of the numerous metastatic lesions across scans, enhancing tumor change monitoring.
Read More

Insights from Data & AI Tech Summit Warsaw 2025

11 editions later, one of the biggest technological conferences in Central Europe changed its name to reflect the latest technological advancements. The BIG DATA TECHNOLOGY WARSAW SUMMIT became the DATA & AI WARSAW TECH SUMMIT, and the conference provided a rich platform for gaining fresh perspectives on data and AI. Our CTO, Sabri Skhiri, was present to gather the insights. Here’s a rundown of the key trends, keynotes and talks that took place.
Read More