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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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- de |
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model-index: |
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- name: de_dep_hdt_dist |
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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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value: 0.0 |
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- name: NER Recall |
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type: recall |
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value: 0.0 |
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- name: NER F Score |
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type: f_score |
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value: 0.0 |
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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: 0.9824320392 |
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- task: |
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name: POS |
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type: token-classification |
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metrics: |
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- name: POS (UPOS) Accuracy |
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type: accuracy |
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value: 0.982918674 |
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- task: |
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name: MORPH |
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type: token-classification |
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metrics: |
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- name: Morph (UFeats) Accuracy |
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type: accuracy |
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value: 0.8754118777 |
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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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- name: Lemma Accuracy |
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type: accuracy |
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value: 0.9431184175 |
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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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- name: Unlabeled Attachment Score (UAS) |
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type: f_score |
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value: 0.9665757769 |
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- task: |
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name: LABELED_DEPENDENCIES |
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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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value: 0.9528941527 |
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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: 0.9843461246 |
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--- |
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