Bio literature Named Entity Recognition using microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext transformer model. The model recognises the following entities: CD: Chemical/Drugs, DS: Diseases, GP: Gene/Protein and OG: Organism
Feature | Description |
---|---|
Name | en_BiomedNER_EuropePMC |
Version | 1.0.0 |
spaCy | >=3.2.4,<3.3.0 |
Default Pipeline | transformer , ner |
Components | transformer , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | Santosh Tirunagari |
Label Scheme
View label scheme (4 labels for 1 components)
Component | Labels |
---|---|
ner |
CD , DS , GP , OG |
Accuracy
Type | Score |
---|---|
ENTS_F |
88.82 |
ENTS_P |
87.14 |
ENTS_R |
90.57 |
TRANSFORMER_LOSS |
92291.81 |
NER_LOSS |
109755.03 |
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Evaluation results
- NER Precisionself-reported0.871
- NER Recallself-reported0.906
- NER F Scoreself-reported0.888