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Read more in the blog post and visit the healthsea repository for all training workflows, custom components and training data.
| Feature | Description |
|---|---|
| Name | en_healthsea |
| Version | 0.0.0 |
| spaCy | >=3.2.0,<3.3.0 |
| Default Pipeline | sentencizer, tok2vec, ner, benepar, segmentation, clausecat, aggregation |
| Components | sentencizer, tok2vec, ner, benepar, segmentation, clausecat, aggregation |
| Vectors | 684830 keys, 684830 unique vectors (300 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | Explosion |
| Component | Labels |
|---|---|
ner | BENEFIT, CONDITION |
clausecat | POSITIVE, NEUTRAL, NEGATIVE, ANAMNESIS |
| Type | Score |
|---|---|
ENTS_F | 80.34 |
ENTS_P | 80.77 |
ENTS_R | 79.92 |
CATS_SCORE | 74.87 |
CATS_MICRO_P | 82.17 |
CATS_MICRO_R | 80.85 |
CATS_MICRO_F | 81.51 |
CATS_MACRO_P | 78.01 |
CATS_MACRO_R | 72.41 |
CATS_MACRO_F | 74.87 |
CATS_MACRO_AUC | 92.76 |
CATS_LOSS | 297.22 |