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Added readme

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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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+ ---
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+ tags:
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+ - spacy
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+ - dacy
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+ - danish
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+ - token-classification
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+ - pos tagging
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+ - morphological analysis
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+ - lemmatization
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+ - dependency parsing
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+ - named entity recognition
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+ - coreference resolution
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+ - named entity linking
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+ - named entity disambiguation
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+ language:
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+ - da
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+ license: apache-2.0
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+ model-index:
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+ - name: da_dacy_large_trf-0.2.0
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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: 0.8858195212
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+ - name: NER Recall
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+ type: recall
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+ value: 0.8620071685
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.8737511353
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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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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.9913668347
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 0.9908174469
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 0.9880227568
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 0.9589423796
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 0.9280885781
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 0.9079997669
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 1.0
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+ dataset:
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+ name: UD Danish DDT
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+ split: test
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+ type: universal_dependencies
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+ config: da_ddt
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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: 0.4672143289
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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: 0.84
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+ - name: Named entity Linking Recall
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+ type: recall
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+ value: 0.2153846154
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+ - name: Named entity Linking F Score
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+ type: f_score
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+ value: 0.3428571429
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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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+ library_name: spacy
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+ datasets:
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+ - universal_dependencies
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+ - dane
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+ - alexandrainst/dacoref
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+ metrics:
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+ - accuracy
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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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