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.

Share on linkedin
Share on twitter
Share on email

Releated Posts

Multimodal Classifier For Space Target Recognition

We propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders to embed the two modalities in a common latent space in order to exploit redundant and complementary information between the two types of data.
Read More

Advancing Innovation in Data Management

To build a data-driven economy across Europe and create a significant competitive advantage for European industry, companies will have to address the challenges in the data engineering and management domain. We are proud to partner with four top-class European institutions.
Read More