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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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- - el
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- license: CC-BY-NC-SA-3.0
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- model-index:
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- - name: el_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: 0.7975206612
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- - name: Recall
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- type: recall
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- value: 0.8109243697
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- - name: F Score
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- type: f_score
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- value: 0.8041666667
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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: 0.9331952867
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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: 0.935483871
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- - name: Recall
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- type: recall
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- value: 0.935483871
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- - name: F Score
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- type: f_score
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- value: 0.935483871
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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: 0.8805625755
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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: 0.8805625755
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- ---
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  ### Details: https://spacy.io/models/el#el_core_news_md
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  Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -103,4 +45,4 @@ Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, se
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  | `SENTS_F` | 93.55 |
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  | `ENTS_P` | 79.75 |
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  | `ENTS_R` | 81.09 |
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- | `ENTS_F` | 80.42 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/el#el_core_news_md
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  Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
 
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  | `SENTS_F` | 93.55 |
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  | `ENTS_P` | 79.75 |
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  | `ENTS_R` | 81.09 |
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+ | `ENTS_F` | 80.42 |