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--- |
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tags: |
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- spacy |
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- token-classification |
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language: |
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- multilingual |
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license: MIT |
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model-index: |
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- name: xx_ent_wiki_sm |
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results: |
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- tasks: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.8409186045 |
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- name: Recall |
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type: recall |
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value: 0.8332525821 |
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- name: F Score |
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type: f_score |
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value: 0.837068042 |
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--- |
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### Details: https://spacy.io/models/xx#xx_ent_wiki_sm |
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Multi-language pipeline optimized for CPU. Components: ner. |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `xx_ent_wiki_sm` | |
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| **Version** | `3.1.0` | |
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| **spaCy** | `>=3.1.0,<3.2.0` | |
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| **Default Pipeline** | `ner` | |
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| **Components** | `ner` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
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| **Sources** | [WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) | |
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| **License** | `MIT` | |
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| **Author** | [Explosion](https://explosion.ai) | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (4 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `ENTS_P` | 84.09 | |
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| `ENTS_R` | 83.33 | |
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| `ENTS_F` | 83.71 | |
