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SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

Authors: Salvador Lima López; Luis Gascó Sánchez; Eulalia Farré; Laura Vigil Gimenez; Martin Krallinger;

SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

Abstract

SympTEMIST stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection of mentions, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) corpora as they all use the same document collection. Please cite if you use this dataset: "Lima-López, S., Farré-Maduell, E., Gasco-Sánchez, L., Rodríguez-Miret, J. and Krallinger, M. (2023). Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text. In: Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models." This repository includes the: Train and Test Set for the three subtasks SYMPTEMIST gazetteer of SNOMED symptoms, signs & findings Multilingual Silver Standard in 9 languages: English Portuguese French Italian Romanian Catalan Swedish Dutch Czech Background set of over 15,000 clinical cases. Spanish Silver Standard (predictions by participants over the background set) Please read the README file attached for more information on folder structure and file format. SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. Resources: Task web BioCreative web Citation: Lima-López, S., Farré-Maduell, E., Gasco-Sánchez, L., Rodríguez-Miret, J. and Krallinger, M. (2023). Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text. In: Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models. Annotation guidelines BioCreative/AMIA workshop proceedings Overview paper Youtube videos (overview & teams) SympTEMIST overview talk slides at BioCreative/AMIA workshop 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 () Additional resources and corpora If you are interested in SympTEMIST, you might want to check out these corpora and resources: DisTEMIST (Corpus of disease mentions and normalization to SNOMED CT, same document collection) MedProcNER (Corpus of clinical procedure mentions and normalization to SNOMED CT, same document collection) PharmaCoNER (Corpus of medications, drugs, chemical substances, genes, proteins and vaccine mentions and normalization, same document collection) MEDDOPROF (Corpus of mentions of professions, occupations and working status and normalization, different document collection with some overlapping documents) MEDDOPLACE (Corpus of mentions of place-related entity mentions, including departments, nationalities or patient movements etc.. and normalization, different document collection with some overlapping documents) MEDDOCAN (Corpus of mentions of Personal Health Identifiers (PHI), modified synthetic verions of the document collection) CANTEMIST (Corpus of cancer tumor morphology mentions and normalization, different document collection) CodiESp (Corpus of clinical case reportes with assigned clinical codes from ICD10, Spanish version, same document collection) LivingNER (Corpus of mentions of species, including human/family members, pathogens, food, etc.. and normalization to NCBI Taxonomy, different document collection with some overlapping documents) SPACCC-POS (Corpus of clinical case reports in Spanish annotated with POS-tags, same document collection) SPACCC-TOKEN (Corpus of clinical case reports in Spanish annotated with token-tags (word mention boundaries), same document collection) SPACCC-SPLIT (Corpus of clinical case reports in Spanish annotated with sentence boundary-tags, same document collection) MESINESP-2 (Corpus of manually indexed records with DeCS /MeSH terms comprising scientific literature abstracts, clinical trials, and patent abstracts, different document collection)

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).

Related Organizations
Keywords

language models, ner, transformer, shared task, symptoms, entity linking, multilingual, spanish, Corpus, NLP, bionlp

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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