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da_core_news_md

Token Classification
spaCy
Danish
Eval Results
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da_core_news_md / README.md
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metadata
tags:
  - spacy
  - token-classification
language:
  - da
license: cc-by-sa-4.0
model-index:
  - name: da_core_news_md
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.8079331942
          - name: NER Recall
            type: recall
            value: 0.80625
          - name: NER F Score
            type: f_score
            value: 0.8070907195
      - task:
          name: TAG
          type: token-classification
        metrics:
          - name: TAG (XPOS) Accuracy
            type: accuracy
            value: 0.9641646489
      - task:
          name: POS
          type: token-classification
        metrics:
          - name: POS (UPOS) Accuracy
            type: accuracy
            value: 0.9641646489
      - task:
          name: MORPH
          type: token-classification
        metrics:
          - name: Morph (UFeats) Accuracy
            type: accuracy
            value: 0.9505084746
      - task:
          name: LEMMA
          type: token-classification
        metrics:
          - name: Lemma Accuracy
            type: accuracy
            value: 0.9481840194
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Attachment Score (UAS)
            type: f_score
            value: 0.8130063132
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Attachment Score (LAS)
            type: f_score
            value: 0.7723336499
      - task:
          name: SENTS
          type: token-classification
        metrics:
          - name: Sentences F-Score
            type: f_score
            value: 0.9112107623

Details: https://spacy.io/models/da#da_core_news_md

Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.

Feature Description
Name da_core_news_md
Version 3.3.0
spaCy >=3.3.0.dev0,<3.4.0
Default Pipeline tok2vec, morphologizer, parser, lemmatizer, attribute_ruler, ner
Components tok2vec, morphologizer, parser, lemmatizer, senter, attribute_ruler, ner
Vectors 500000 keys, 20000 unique vectors (300 dimensions)
Sources UD Danish DDT v2.8 (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)
DaNE (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)
Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion)
License CC BY-SA 4.0
Author Explosion

Label Scheme

View label scheme (193 labels for 3 components)
Component Labels
morphologizer AdpType=Prep|POS=ADP, Definite=Ind|Gender=Com|Number=Sing|POS=NOUN, Mood=Ind|POS=AUX|Tense=Pres|VerbForm=Fin|Voice=Act, POS=PROPN, Definite=Ind|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Definite=Def|Gender=Neut|Number=Sing|POS=NOUN, POS=SCONJ, Definite=Def|Gender=Com|Number=Sing|POS=NOUN, Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Act, POS=ADV, Number=Plur|POS=DET|PronType=Dem, Degree=Pos|Number=Plur|POS=ADJ, Definite=Ind|Gender=Com|Number=Plur|POS=NOUN, POS=PUNCT, POS=CCONJ, Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ, Degree=Cmp|POS=ADJ, POS=PRON|PartType=Inf, Gender=Com|Number=Sing|POS=DET|PronType=Ind, Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ, Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs, Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN, Definite=Def|Degree=Pos|Number=Sing|POS=ADJ, Gender=Neut|Number=Sing|POS=DET|PronType=Dem, Degree=Pos|POS=ADV, Definite=Def|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN, POS=PRON|PronType=Dem, NumType=Card|POS=NUM, Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs, Degree=Pos|Gender=Com|Number=Sing|POS=ADJ, Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs, NumType=Ord|POS=ADJ, Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act, POS=VERB|VerbForm=Inf|Voice=Act, Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act, POS=NOUN, Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass, POS=ADP|PartType=Inf, Degree=Pos|POS=ADJ, Definite=Def|Gender=Com|Number=Plur|POS=NOUN, Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs, Case=Gen|Definite=Def|Gender=Com|Number=Sing|POS=NOUN, POS=AUX|VerbForm=Inf|Voice=Act, Definite=Ind|Degree=Pos|Gender=Com|Number=Sing|POS=ADJ, Gender=Com|Number=Sing|POS=DET|PronType=Dem, Number=Plur|POS=DET|PronType=Ind, Gender=Com|Number=Sing|POS=PRON|PronType=Ind, Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes, POS=PART|PartType=Inf, Gender=Neut|Number=Sing|POS=DET|PronType=Ind, Case=Acc|Number=Plur|POS=PRON|Person=3|PronType=Prs, Case=Gen|Definite=Def|Gender=Neut|Number=Sing|POS=NOUN, Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs, Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs, Case=Nom|Gender=Com|POS=PRON|PronType=Ind, Gender=Neut|Number=Sing|POS=PRON|PronType=Ind, Mood=Imp|POS=VERB, Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs, Definite=Ind|Number=Sing|POS=AUX|Tense=Past|VerbForm=Part, POS=X, Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs, Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN, POS=VERB|Tense=Pres|VerbForm=Part, Number=Plur|POS=PRON|PronType=Int,Rel, POS=VERB|VerbForm=Inf|Voice=Pass, Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN, Degree=Cmp|POS=ADV, POS=ADV|PartType=Inf, Degree=Sup|POS=ADV, Number=Plur|POS=PRON|PronType=Dem, Number=Plur|POS=PRON|PronType=Ind, Definite=Def|Gender=Neut|Number=Plur|POS=NOUN, Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs, Case=Gen|POS=PROPN, POS=ADP, Degree=Cmp|Number=Plur|POS=ADJ, Definite=Def|Degree=Sup|POS=ADJ, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs, Degree=Pos|Number=Sing|POS=ADJ, Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form, Number=Plur|POS=PRON|PronType=Rcp, Case=Gen|Degree=Cmp|POS=ADJ, Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN, Number[psor]=Plur|POS=DET|Person=3|Poss=Yes|PronType=Prs, POS=INTJ, Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs, Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form, Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs, Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs, Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN, Number=Sing|POS=PRON|PronType=Int,Rel, Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form, Gender=Neut|Number=Sing|POS=PRON|PronType=Int,Rel, Definite=Def|Degree=Sup|Number=Plur|POS=ADJ, Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Definite=Ind|Number=Sing|POS=NOUN, Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, POS=SYM, Case=Nom|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs, Degree=Sup|POS=ADJ, Number=Plur|POS=DET|PronType=Ind|Style=Arch, Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Dem, Foreign=Yes|POS=X, POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs, Gender=Neut|Number=Sing|POS=PRON|PronType=Dem, Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs, Case=Gen|Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN, Case=Gen|POS=PRON|PronType=Int,Rel, Gender=Com|Number=Sing|POS=PRON|PronType=Dem, Abbr=Yes|POS=X, Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN, Definite=Def|Degree=Abs|POS=ADJ, Definite=Ind|Degree=Sup|Number=Sing|POS=ADJ, Definite=Ind|POS=NOUN, Gender=Com|Number=Plur|POS=NOUN, Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs, Gender=Com|POS=PRON|PronType=Int,Rel, Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs, Degree=Abs|POS=ADV, POS=VERB|VerbForm=Ger, POS=VERB|Tense=Past|VerbForm=Part, Definite=Def|Degree=Sup|Number=Sing|POS=ADJ, Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form, Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ, Case=Gen|Degree=Pos|Number=Plur|POS=ADJ, Case=Acc|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs, Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel, POS=VERB|Tense=Pres, Case=Gen|Number=Plur|POS=DET|PronType=Ind, Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs, POS=PRON|Person=2|Polite=Form|Poss=Yes|PronType=Prs, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs, POS=AUX|Tense=Pres|VerbForm=Part, Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass, Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Degree=Sup|Number=Plur|POS=ADJ, Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Definite=Ind|Number=Plur|POS=NOUN, Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, Mood=Imp|POS=AUX, Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs, Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs, Definite=Def|Gender=Com|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs, Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind, Case=Gen|POS=NOUN, Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs, POS=DET|PronType=Dem, Definite=Def|Number=Plur|POS=NOUN
parser ROOT, acl:relcl, advcl, advmod, advmod:lmod, amod, appos, aux, case, cc, ccomp, compound:prt, conj, cop, dep, det, expl, fixed, flat, iobj, list, mark, nmod, nmod:poss, nsubj, nummod, obj, obl, obl:lmod, obl:tmod, punct, xcomp
ner LOC, MISC, ORG, PER

Accuracy

Type Score
TOKEN_ACC 99.95
TOKEN_P 99.78
TOKEN_R 99.75
TOKEN_F 99.76
POS_ACC 96.42
MORPH_ACC 95.05
MORPH_MICRO_P 96.69
MORPH_MICRO_R 96.16
MORPH_MICRO_F 96.42
SENTS_P 92.20
SENTS_R 90.07
SENTS_F 91.12
DEP_UAS 81.30
DEP_LAS 77.23
LEMMA_ACC 94.82
TAG_ACC 96.42
ENTS_P 80.79
ENTS_R 80.62
ENTS_F 80.71