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模型:
tsantosh7/en_BiomedNER_EuropePMC
中文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 |