en_engagement_LSTM

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tags:

• spacy
• token-classification language:
• en model-index:
• name: en_engagement_LSTM results:
  • task: name: NER type: token-classification metrics:
    • name: NER Precision type: precision value: 0.0
    • name: NER Recall type: recall value: 0.0
    • name: NER F Score type: f_score value: 0.0
  • task: name: TAG type: token-classification metrics:
    • name: TAG (XPOS) Accuracy type: accuracy value: 0.0
  • task: name: LEMMA type: token-classification metrics:
    • name: Lemma Accuracy type: accuracy value: 0.0
  • task: name: UNLABELED_DEPENDENCIES type: token-classification metrics:
    • name: Unlabeled Attachment Score (UAS) type: f_score value: 0.0
  • task: name: LABELED_DEPENDENCIES type: token-classification metrics:
    • name: Labeled Attachment Score (LAS) type: f_score value: 0.0
  • task: name: SENTS type: token-classification metrics:
    • name: Sentences F-Score type: f_score value: 0.9144831558

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Label Scheme

<details> <summary>View label scheme (122 labels for 4 components)</summary> </details>

Accuracy