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egumasa
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en_engagement_LSTM

Token Classification
spaCy
English
Eval Results
Model card Files Community
egumasa commited on
Commit
7499eb8
·
1 Parent(s): 53488b9

Update spaCy pipeline

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Files changed (3) hide show
  1. README.md +58 -0
  2. en_engagement_LSTM-any-py3-none-any.whl +2 -2
  3. meta.json +152 -142
README.md CHANGED
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  type: f_score
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `en_engagement_LSTM` |
 
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  type: f_score
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  value: 0.9144831558
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  ---
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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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+ - en
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+ model-index:
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+ - name: en_engagement_LSTM
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.0
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+ - task:
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+ name: LEMMA
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+ type: token-classification
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+ metrics:
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+ type: accuracy
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+ - task:
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+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ type: f_score
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+ type: token-classification
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+ metrics:
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+ - name: Labeled Attachment Score (LAS)
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+ type: f_score
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+ - task:
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+ name: SENTS
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+ type: token-classification
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+ metrics:
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+ - name: Sentences F-Score
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+ type: f_score
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+ value: 0.9144831558
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+ ---
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  | Feature | Description |
118
  | --- | --- |
119
  | **Name** | `en_engagement_LSTM` |
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