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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 with:
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  | | Train | Valid |
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  |:-------------:|:-------------:|:--------------:|
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- | # utterances | 143,597 | 4,000 |
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-
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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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  |:-------------:|:-------------:|