MedProcNER/ProcTEMIST Corpus: Gold Standard annotations for Clinical Procedures Information Extraction

MedProcNER stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of resources focused on the detection, normalization and indexing of clinical procedures in medical documents in Spanish. MedProcNER is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) as they both use the same document collection, which is why it's also called ProcTEMIST. This repository includes the Train Set of the task, which includes a total of 750 documents, plus the annotated Test Set's 250 documents. A gazetteer of possible SNOMED CT codes for the normalization and indexing tasks is also part of the bundle as a lexical resource. In addition, a cross-mapping file of all SNOMED CT codes to MeSH is also included. Finally, we release an experimental multilingual Silver Standard version derived from the Spanish Gold Standard in 9 languages: English, Catalan, Italian, French, Portuguese, Romanian, Czech, Dutch and Swedish. These documents have been generated using an automatic annotation transfer process that works as follows: The text files were translated with a neural machine translation system. The annotations were translated with the same neural machine translation system. The translated annotations were transferred to the translated text files using a lexical approach and custom dictionaries. MedProcNER was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioASQ @ CLEF 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/medprocner. Related Links: - MedProcNER website: https://temu.bsc.es/medprocner - MedProcNER Guidelines: https://doi.org/10.5281/zenodo.7817666 License This work is licensed under a Creative Commons Attribution 4.0 International License. Contact If you have any questions or suggestions, please contact us at: - Salvador Lima-López () - Martin Krallinger (