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LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
Abstract: LivingNER corpus - training, validation, test and background sets + MULTILINGUAL RESOURCES The LivingNER corpus is a collection of 2000 clinical cases from over 10 different medical areas annotated with SPECIES mentions, that are mapped to NCBI Taxonomy. It is used for the LivingNER Shared Task on occupations and employment status detection and normalization in Spanish medical documents, which will be celebrated as part of IberLEF 2022. Training and validation sets The training set is composed of 1000 clinical case reports extracted from miscellaneous medical specialties including COVID, oncology, infectious diseases, tropical medicine, urology, pediatrics, and others. The files are distributed as follows: - For subtask 1 (LivingNER-Species NER track) , annotations are distributed in a tab-separated file (TSV) file. It has one row per annotation, with the following columns: filename: document name mark: identifier mention mark label: mention type (SPECIES or HUMAN) off0: starting position of the mention in ... : Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL). ...
Keyword: corpus; gold standard; NER; NLP; normalization; species
URL: https://dx.doi.org/10.5281/zenodo.6376662
https://zenodo.org/record/6376662
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2
LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
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3
DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
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4
DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
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5
Cantemist guidelines: neoplasms morphology annotation and mapping to CIEO-3 ...
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Cantemist guidelines: neoplasms morphology annotation and mapping to CIEO-3 ...
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7
Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology ...
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8
Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology ...
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9
Cantemist guidelines: neoplasms morphology annotation and mapping to CIEO-3 ...
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