Models developed as part of the BARITONE Project, done by Barcelona Supercomputing Center in collaboration with Parc Taulí University Hospital
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).
Recent Activity
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Collection of models trained and evaluated for the CARMEN-I corpus.
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BSC-NLP4BIA/bsc-bio-ehr-es-carmen-medprocner
Token Classification • Updated • 516 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-symptemist
Token Classification • Updated • 1.82k -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-distemist
Token Classification • Updated • 1.83k -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-meddocan
Token Classification • Updated • 24
Trained Cross Encoders for Re-Ranking purposes in Entity Linking
Models developed as part of the BARITONE Project, done by Barcelona Supercomputing Center in collaboration with Parc Taulí University Hospital
Collection of models and datasets for the PATTERN Chagas project.
Collection of models trained and evaluated for the CARMEN-I corpus.
-
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-medprocner
Token Classification • Updated • 516 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-symptemist
Token Classification • Updated • 1.82k -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-distemist
Token Classification • Updated • 1.83k -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-meddocan
Token Classification • Updated • 24
Bi-encoder models for Dense Retrieval (Entity Linking)
Trained Cross Encoders for Re-Ranking purposes in Entity Linking
Neural machine translation clinical NER models for disease, drugs, and professions (Spanish-Catalan versions)