Posos/MedNERF
收藏Hugging Face2023-06-07 更新2024-03-04 收录
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---
license: cc-by-nc-sa-4.0
task_categories:
- token-classification
language:
- fr
tags:
- medical
pretty_name: MedNERF
size_categories:
- n<1K
---
# MedNERF
## Dataset Description
- **Paper:** [Multilingual Clinical NER: Translation or Cross-lingual Transfer?](https://arxiv.org/abs/2306.04384)
- **Point of Contact:** [email](research@posos.fr)
### Dataset Summary
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](https://academic.oup.com/jamia/article-abstract/27/1/3/5581277?redirectedFrom=fulltext&login=false).
Entities are annotated with the following labels: `Drug`, `Strength`, `Form`, `Dosage`, `Duration` and `Frequency`, using the IOB format.
## Licensing Information
This dataset is distributed under the Creative Commons Attribution Non Commercial Share Alike 4.0 license.
## Citation information
```
@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"
}
```
提供机构：
Posos
原始信息汇总
MedNERF 数据集概述
数据集描述
- 语言: 法语 (fr)
- 任务类别: 词元分类 (token-classification)
- 标签: 医学 (medical)
- 数据集大小: 小于1千条记录 (n<1K)
- 数据集目的: 作为医学命名实体识别（NER）模型的测试集
数据集详情
- 数据来源: 使用法国医疗处方样本构建，遵循与n2c2数据集相同的标注指南
- 实体标注: 使用IOB格式标注以下实体类型:
Drug,Strength,Form,Dosage,Duration,Frequency
许可信息
- 许可证: Creative Commons Attribution Non Commercial Share Alike 4.0 (cc-by-nc-sa-4.0)
引用信息
@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" }
