Collection of models trained and evaluated for the CARMEN-I corpus.
NLP for Biomedical Information Analysis @ Barcelona Supercomputing Center
non-profit
AI & ML interests
The NLP4BIA team focuses on the creation of publicly accessible high quality biomedical NLP resources to unlock key information and improve analysis of a variety of unstructured data sources, including clinical reports, biomedical literature, clinical trials, patents, or social media content written in different languages, mainly Spanish and English (but also other languages like Catalan).
models
37
BSC-NLP4BIA/location-sub-classifier
Text Classification
•
Updated
BSC-NLP4BIA/location-sub-tagger
Token Classification
•
Updated
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3
BSC-NLP4BIA/location-tagger
Token Classification
•
Updated
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3
BSC-NLP4BIA/disease-ner-cat-v0
Token Classification
•
Updated
•
16
BSC-NLP4BIA/drug-ner-cat-v0
Token Classification
•
Updated
•
15
BSC-NLP4BIA/disease-ner-cat-v1
Token Classification
•
Updated
•
17
BSC-NLP4BIA/drug-ner-cat-v1
Token Classification
•
Updated
•
17
BSC-NLP4BIA/prof-ner-cat-v0
Token Classification
•
Updated
•
12
BSC-NLP4BIA/prof-ner-cat-v1
Token Classification
•
Updated
•
16
BSC-NLP4BIA/SapBERT-from-roberta-base-biomedical-clinical-es-MEDDOPLACE-CE-10E-256BS
Updated
datasets
None public yet