Collection of models and datasets for the PATTERN Chagas project.
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).
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Bi-encoder models for Dense Retrieval (Entity Linking)
Neural machine translation clinical NER models for disease, drugs, and professions (Spanish-Catalan versions)
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 • 20 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-symptemist
Token Classification • Updated • 28 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-distemist
Token Classification • Updated • 4 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-meddocan
Token Classification • Updated • 6
Trained Cross Encoders for Re-Ranking purposes in Entity Linking
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 • 20 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-symptemist
Token Classification • Updated • 28 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-distemist
Token Classification • Updated • 4 -
BSC-NLP4BIA/bsc-bio-ehr-es-carmen-meddocan
Token Classification • Updated • 6
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)