spacy-models
Collection
German spaCy models trained on German UD-HDT and on a collection of gold and silver standard NER corpora
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6 items
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Updated
| Feature | Description |
|---|---|
| Name | de_ner_d_lg |
| Version | 2.0.0 |
| spaCy | >=3.8.7,<3.9.0 |
| 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_P |
75.28 |
ENTS_R |
66.06 |
ENTS_F |
70.37 |
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Collection including zentrum-lexikographie/de_ner_d_lg
Evaluation results
- NER Precisionself-reported0.753
- NER Recallself-reported0.661
- NER F Scoreself-reported0.704