Kenneth Enevoldsen commited on
Commit ·
9ebd830
1
Parent(s): 2ea5d62
Added datasets
Browse files
README.md
CHANGED
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- name: NER F Score
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type: f_score
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value: 0.8581818182
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- task:
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name: TAG
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type: token-classification
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.9847290149
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- task:
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name: POS
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type: token-classification
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- name: POS (UPOS) Accuracy
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type: accuracy
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value: 0.985677928
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- task:
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name: MORPH
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type: token-classification
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- name: Morph (UFeats) Accuracy
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type: accuracy
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value: 0.9814371257
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.9083920564
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.883349834
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- task:
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name: SENTS
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type: token-classification
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- name: Sentences F-Score
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type: f_score
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value: 0.9885462555
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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# DaCy medium
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- name: NER F Score
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type: f_score
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value: 0.8581818182
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dataset:
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name: DaNE
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split: test
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type: dane
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- task:
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name: TAG
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type: token-classification
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.9847290149
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dataset:
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name: UD Danish DDT
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split: test
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- task:
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name: POS
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type: token-classification
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- name: POS (UPOS) Accuracy
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type: accuracy
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value: 0.985677928
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dataset:
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name: UD Danish DDT
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split: test
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- task:
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name: MORPH
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type: token-classification
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- name: Morph (UFeats) Accuracy
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type: accuracy
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value: 0.9814371257
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dataset:
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name: UD Danish DDT
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split: test
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.9083920564
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dataset:
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name: UD Danish DDT
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split: test
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.883349834
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dataset:
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name: UD Danish DDT
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split: test
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- task:
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name: SENTS
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type: token-classification
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- name: Sentences F-Score
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type: f_score
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value: 0.9885462555
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dataset:
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name: UD Danish DDT
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split: test
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- task:
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name: coreference-resolution
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type: coreference-resolution
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metrics:
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- name: LEA
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type: f_score
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value: 0.4118366346
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dataset:
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name: DaCoref
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type: alexandrainst/dacoref
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split: custom
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- task:
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name: coreference-resolution
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type: coreference-resolution
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metrics:
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- name: Named entity Linking Precision
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type: precision
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value: 0.9923076923
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- name: Named entity Linking Recall
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type: recall
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value: 0.671875
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- name: Named entity Linking F Score
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type: f_score
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value: 0.801242236
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dataset:
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name: DaNED
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type: named-entity-linking
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split: custom
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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# DaCy medium
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