
Named Entity Recognition (NER) model to recognize anatomical entities. 

[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following datasets:
- [MANTRA](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986661/pdf/ocv037.pdf): entity type "ANAT"
- [CellFinder](http://cellfinder.org/about/annotation/): entity type "Anatomical parts"
- [CRAFT](https://github.com/UCDenver-ccp/CRAFT/tree/master/concept-annotation): entity type "UBERON"
- [MLEE](http://nactem.ac.uk/MLEE/): entity types "Anatomical_system", "Organ", "Multi-tissue structure", "Tissue", "Immaterial_anatomical_entity"
- [AnatEM](https://github.com/cambridgeltl/MTL-Bioinformatics-2016/tree/master/data/AnatEM-IOB)
- [BioNLP13CG](): entity types "Multi-tissue structure", "Tissue", "Organ", "Immaterial anatomical entity", "Anatomical system"
- [GREC](http://www.nactem.ac.uk/GREC/standoff.php): entity type "Tissue"
{"language": ["en"], "pipeline_tag": "token-classification"}
transformers pytorch bert token-classification en autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #has_space #region-us 


Named Entity Recognition (NER) model to recognize anatomical entities. 

PubMedBERT fine-tuned on the following datasets:
- MANTRA: entity type "ANAT"
- CellFinder: entity type "Anatomical parts"
- CRAFT: entity type "UBERON"
- MLEE: entity types "Anatomical_system", "Organ", "Multi-tissue structure", "Tissue", "Immaterial_anatomical_entity"
- AnatEM
- [BioNLP13CG](): entity types "Multi-tissue structure", "Tissue", "Organ", "Immaterial anatomical entity", "Anatomical system"
- GREC: entity type "Tissue"
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #has_space #region-us 

TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
