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README.md
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*wsd-camembert-base-semcor-wngt-fr* is a Word Sense Disambiguation (WSD) model fine-tuned on the French version of Semcor and WNGT datasets with *almanach/camembert-base* as the pretrained BERT embeddings.
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The fine-tuned model achieves the following performance on SemEval 2013 - fr:
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| Test F1 (%) | GPUs | Epochs
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|:-------------:|:--------------:|:--------------:| :--------:|:--------:|
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| 51.28 | 1xV100 32GB | 40 |
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### Training and Test Data
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We use [Semcor.fr](https://frsemcor.github.io/FrSemCor/) and [WNGT.fr](https://github.com/getalp/UFSAC) annotated with WordNet 3.0 sense keys IDs
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| | Train | Valid |
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|:-------------:|:-------------:|:--------------:|
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| # utterances | 143,597 | 4,000 |
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The semeval2013task12.fr.xml test data is the French version of the [SemEval-2013 Task 12](https://aclanthology.org/S13-2040/) test set, with:
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| | Test |
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|:-------------:|:-------------:|
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*wsd-camembert-base-semcor-wngt-fr* is a Word Sense Disambiguation (WSD) model fine-tuned on the French version of Semcor and WNGT datasets with *almanach/camembert-base* as the pretrained BERT embeddings.
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The fine-tuned model achieves the following performance on SemEval 2013 - fr:
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| Test F1 (%) | GPUs | Epochs |
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|:-------------:|:--------------:|:--------------:| :--------:|:--------:|
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| 51.28 | 1xV100 32GB | 40 |
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### Training and Test Data
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We use [Semcor.fr](https://frsemcor.github.io/FrSemCor/) and [WNGT.fr](https://github.com/getalp/UFSAC) annotated with WordNet 3.0 sense keys IDs for the train/valid sets:
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| | Train | Valid |
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|:-------------:|:-------------:|:--------------:|
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| # utterances | 143,597 | 4,000 | 306
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The semeval2013task12.fr.xml test data is the French version of the [SemEval-2013 Task 12](https://aclanthology.org/S13-2040/) test set, with:
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| | Test |
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|:-------------:|:-------------:|
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