de-hdt-wikiner
Collection
spaCy models trained on UD/de-hdt and the WikiNER corpus
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4 items
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Updated
| Feature | Description |
|---|---|
| Name | de_wikiner_lg |
| Version | 1.0.0 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
83.26 |
ENTS_P |
84.71 |
ENTS_R |
81.86 |
TOK2VEC_LOSS |
401121.28 |
NER_LOSS |
924927.46 |
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Collection including zentrum-lexikographie/de_wikiner_lg
Evaluation results
- NER Precisionself-reported0.847
- NER Recallself-reported0.819
- NER F Scoreself-reported0.833