Multi-head CRF classifier for biomedical multi-class Named Entity Recognition on Spanish clinical notes

This contains the merged dataset as described in the work "Multi-head CRF classifier for biomedical multi-class Named Entity Recognition on Spanish clinical notes". This dataset consists of 4 seperate datasets: MedProcNer DisTEMIST PharmaCoNER SympTEMIST The dataset contains two tasks: Task 1: This task is related to multi-class Named Entity Recognition. This dataset contains 5 possible classes: SYMPTOM, PROCEDURE, DISEASE, CHEMICAL and PROTEIN. Task 2: This task is related to Named Entity Linking, where each code corresponds to a code within the SNOMED-CT corpus. The exact corpus used can be obtained here. Further for the MedProcNER, SympTEMIST and DisTEMIST datasets, a gazetteer is provided in the original datasets. For more information on the construction of the dataset, aswell as dataloaders, we refer you to our GitHub repository. Please, cite: @article{jonker2024a, title = {Multi-head {{CRF}} classifier for biomedical multi-class named entity recognition on {{Spanish}} clinical notes}, author = {Jonker, Richard A. A. and Almeida, Tiago and Antunes, Rui and Almeida, Jo{\~a}o R. and Matos, S{\'e}rgio}, year = {2024}, journal = {Database}, publisher = {Oxford University Press} } Jonker, R. A. A., Almeida, T., Antunes, R., Almeida, J. R., & Matos, S. (2024). Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes. (Submitted.) License This work is licensed under a Creative Commons Attribution 4.0 International License.本数据集为论文《面向西班牙语临床笔记的生物医学多类别命名实体识别（Named Entity Recognition）多头条件随机场（Conditional Random Field，CRF）分类器》中所述的合并数据集。 本数据集由4个独立数据集组成： MedProcNer DisTEMIST PharmaCoNER SympTEMIST 该数据集包含两项任务： 任务1：本任务属于多类别命名实体识别（Named Entity Recognition）任务，共涵盖5个预定义类别：症状（SYMPTOM）、诊疗程序（PROCEDURE）、疾病（DISEASE）、化学物质（CHEMICAL）与蛋白质（PROTEIN）。 任务2：本任务为命名实体链接（Named Entity Linking）任务，每个编码均对应SNOMED-CT术语集中的某一编码。所用的具体术语集可通过此处获取。此外，针对MedProcNER、SympTEMIST与DisTEMIST这三个数据集，其原始数据集中已提供实体词典（gazetteer）。 若需了解该数据集的构建细节以及数据加载器（dataloader）相关内容，请参阅我们的GitHub仓库。 请引用以下文献： @article{jonker2024a, title = {面向西班牙语临床笔记的生物医学多类别命名实体识别多头CRF分类器}, author = {Jonker, Richard A. A. and Almeida, Tiago and Antunes, Rui and Almeida, João R. and Matos, Sérgio}, year = {2024}, journal = {Database}, publisher = {Oxford University Press} } Jonker, R. A. A., Almeida, T., Antunes, R., Almeida, J. R., & Matos, S. (2024). 面向西班牙语临床笔记的生物医学多类别命名实体识别多头CRF分类器. （已投稿） 本作品采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International License）进行许可。