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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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- - it
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- license: CC-BY-NC-SA-3.0
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- model-index:
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- - name: it_core_news_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: 0.8567542177
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- - name: Recall
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- type: recall
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- value: 0.8532805739
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- - name: F Score
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- type: f_score
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- value: 0.8550138677
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- - tasks:
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- name: POS
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9653096073
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- - tasks:
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- name: SENTER
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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: 0.9702276708
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- - name: Recall
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- type: recall
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- value: 0.9822695035
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- - name: F Score
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- type: f_score
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- value: 0.9762114537
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- - tasks:
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- name: UNLABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.8974636003
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- - tasks:
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- name: LABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.8974636003
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- ---
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  ### Details: https://spacy.io/models/it#it_core_news_sm
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  Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -104,4 +46,4 @@ Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger,
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  | `MORPH_ACC` | 96.81 |
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  | `LEMMA_ACC` | 86.39 |
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  | `DEP_UAS` | 89.75 |
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- | `DEP_LAS` | 85.86 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/it#it_core_news_sm
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  Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
 
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  | `MORPH_ACC` | 96.81 |
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  | `LEMMA_ACC` | 86.39 |
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  | `DEP_UAS` | 89.75 |
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+ | `DEP_LAS` | 85.86 |