Posos/MedNERF

--- 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]([e-mail]) ### 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" } ```

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" }