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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- token-classification |
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language: |
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- fr |
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tags: |
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- medical |
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pretty_name: MedNERF |
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size_categories: |
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- n<1K |
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--- |
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# MedNERF |
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## Dataset Description |
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- **Paper:** [Multilingual Clinical NER: Translation or Cross-lingual Transfer?](https://arxiv.org/abs/2306.04384) |
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- **Point of Contact:** [email](research@posos.fr) |
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### Dataset Summary |
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MedNERF is a French medical NER dataset whose aim is to serve as a test set for medical NER models. |
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It has been built using a sample of French medical prescriptions annotated with the same guidelines as the [n2c2 dataset](https://academic.oup.com/jamia/article-abstract/27/1/3/5581277?redirectedFrom=fulltext&login=false). |
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Entities are annotated with the following labels: `Drug`, `Strength`, `Form`, `Dosage`, `Duration` and `Frequency`, using the IOB format. |
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## Licensing Information |
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This dataset is distributed under the Creative Commons Attribution Non Commercial Share Alike 4.0 license. |
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## Citation information |
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``` |
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@inproceedings{mednerf, |
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title = "Multilingual Clinical NER: Translation or Cross-lingual Transfer?", |
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author = "Gaschi, Félix and Fontaine, Xavier and Rastin, Parisa and Toussaint, Yannick", |
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booktitle = "Proceedings of the 5th Clinical Natural Language Processing Workshop", |
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publisher = "Association for Computational Linguistics", |
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year = "2023" |
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} |
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``` |
