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  1. README.md +1 -59
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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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- - nb
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- license: MIT
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- model-index:
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- - name: nb_core_news_md
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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: 0.8454221165
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- - name: Recall
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- type: recall
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- value: 0.8399291199
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- - name: F Score
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- type: f_score
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- value: 0.8426666667
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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: 0.9713020031
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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: 0.9275123558
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- - name: Recall
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- type: recall
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- value: 0.9328914664
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- - name: F Score
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- type: f_score
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- value: 0.9301941347
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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: 0.8928487837
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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: 0.8928487837
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- ---
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  ### Details: https://spacy.io/models/nb#nb_core_news_md
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  Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -103,4 +45,4 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
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  | `ENTS_F` | 84.27 |
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  | `SENTS_P` | 92.75 |
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  | `SENTS_R` | 93.29 |
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- | `SENTS_F` | 93.02 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/nb#nb_core_news_md
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  Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
 
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  | `ENTS_F` | 84.27 |
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  | `SENTS_P` | 92.75 |
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  | `SENTS_R` | 93.29 |
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+ | `SENTS_F` | 93.02 |