MedNERF is a French medical NER dataset whose aim is to serve as a test set for medical NER models.
It has been built using a sample of French medical prescriptions annotated with the same guidelines as the n2c2 dataset.
Entities are annotated with the following labels: Drug, Strength, Form, Dosage, Duration and Frequency, using the IOB format.
This dataset is distributed under the Creative Commons Attribution Non Commercial Share Alike 4.0 license.
@inproceedings{mednerf,
title = "Multilingual Clinical NER: Translation or Cross-lingual Transfer?",
author = "Gaschi, Félix and Fontaine, Xavier and Rastin, Parisa and Toussaint, Yannick",
booktitle = "Proceedings of the 5th Clinical Natural Language Processing Workshop",
publisher = "Association for Computational Linguistics",
year = "2023"
}
MedNERF is a French medical NER dataset whose aim is to serve as a test set for medical NER models.
It has been built using a sample of French medical prescriptions annotated with the same guidelines as the n2c2 dataset.
Entities are annotated with the following labels: Drug, Strength, Form, Dosage, Duration and Frequency, using the IOB format.
This dataset is distributed under the Creative Commons Attribution Non Commercial Share Alike 4.0 license.
@inproceedings{mednerf,
title = "Multilingual Clinical NER: Translation or Cross-lingual Transfer?",
author = "Gaschi, Félix and Fontaine, Xavier and Rastin, Parisa and Toussaint, Yannick",
booktitle = "Proceedings of the 5th Clinical Natural Language Processing Workshop",
publisher = "Association for Computational Linguistics",
year = "2023"
}