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The MEDDOPROF corpus is a collection of 2000 clinical cases from over 20 different specialties annotated with professions, employment statuses and other work-related activities. It is used for the MEDDOPROF Shared Task on occupations and employment status detection and normalization in Spanish medical documents, which will be celebrated as part of IberLEF 2021. The sample set is composed of 15 clinical cases extracted from the training set from four different specialties: radiology, oncology, psychiatry and occupational health. The files are distributed as follows: - For the subtask 1 (MEDDOPROF-NER), annotations are distributed in Brat standoff format with PROFESION/SITUACION_LABORAL tags only. - For the subtask 2 (MEDDOPROF-CLASS), annotations are distributed in Brat standoff format with PACIENTE/FAMILIAR/SANITARIO/OTROS tags only. - For the subtask 3 (MEDDOPROF-NORM), annotations are distributed in a tab-separated file (TSV) with a code column that includes the mapping of entities to ESCO and SNOMED-CT. For further information, please visit https://temu.bsc.es/meddoprof/ or email us at encargo-pln-life@bsc.es
Professions, normalization, meddoprof, NER, clinical NLP, clinical cases, Occupations, NLP
Professions, normalization, meddoprof, NER, clinical NLP, clinical cases, Occupations, NLP
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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