Papers by Tom Brendlé
FQuAD: French Question Answering Dataset (2020.findings-emnlp)
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| Challenge: | Recent advances in the field of language modeling have improved state-of-the-art results on many natural language processing tasks. |
| Approach: | They propose to use a French Question Answering Dataset to track progress of French Question answering models. |
| Outcome: | The proposed model achieves an F1 score of 92.2 and an exact match ratio of 82.1 on the test set. |