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

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

10 Jun 2021ACL (CASE) 2021 8arXiv:2106.14625archive 2025-07-28

Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, Carlos Ramisch

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.

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Event Extraction

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Methods

AdamAttentionAttention DropoutBERTDense ConnectionsDropoutLayer NormalizationLinear LayerLinear Warmup With Linear DecayMulti-Head AttentionResidual ConnectionSoftmaxWeight DecayWordPiece

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