metadata
tags:
- spacy
- dacy
- danish
- named entity recognition
- pos tagging
- lemmatization
- dependency parsing
- coreference resolution
- named entity linking
- named entity disambiguation
- token-classification
language:
- da
license: apache-2.0
model-index:
- name: da_dacy_medium_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8708487085
- name: NER Recall
type: recall
value: 0.8458781362
- name: NER F Score
type: f_score
value: 0.8581818182
dataset:
name: DaNE
split: test
type: dane
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9847290149
dataset:
name: UD Danish DDT
split: test
type: universal_dependencies
config: da_ddt
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.985677928
dataset:
name: UD Danish DDT
split: test
type: universal_dependencies
config: da_ddt
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9814371257
dataset:
name: UD Danish DDT
split: test
type: universal_dependencies
config: da_ddt
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9083920564
dataset:
name: UD Danish DDT
split: test
type: universal_dependencies
config: da_ddt
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.883349834
dataset:
name: UD Danish DDT
split: test
type: universal_dependencies
config: da_ddt
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9885462555
dataset:
name: UD Danish DDT
split: test
type: universal_dependencies
config: da_ddt
- task:
name: coreference-resolution
type: coreference-resolution
metrics:
- name: LEA
type: f_score
value: 0.4118366346
dataset:
name: DaCoref
type: alexandrainst/dacoref
split: custom
- task:
name: coreference-resolution
type: coreference-resolution
metrics:
- name: Named entity Linking Precision
type: precision
value: 0.9923076923
- name: Named entity Linking Recall
type: recall
value: 0.671875
- name: Named entity Linking F Score
type: f_score
value: 0.801242236
dataset:
name: DaNED
type: named-entity-linking
split: custom
library_name: spacy
datasets:
- universal_dependencies
- alexandrainst/dacoref
- dane
metrics:
- accuracy
DaCy medium
DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines. DaCy's largest pipeline has achieved State-of-the-Art performance on parts-of-speech tagging and dependency parsing for Danish on the DaNE dataset. To read more check out the DaCy repository for material on how to use DaCy and reproduce the results. DaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
Feature | Description |
---|---|
Name | da_dacy_medium_trf |
Version | 0.2.0 |
spaCy | >=3.5.2,<3.6.0 |
Default Pipeline | transformer , tagger , morphologizer , trainable_lemmatizer , parser , ner , coref , span_resolver , span_cleaner , entity_linker |
Components | transformer , tagger , morphologizer , trainable_lemmatizer , parser , ner , coref , span_resolver , span_cleaner , entity_linker |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | UD Danish DDT v2.11 (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara) DaNE (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard) DaCoref (Buch-Kromann, Matthias) DaNED (Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B., & Søgaard, A.) vesteinn/DanskBERT (Vésteinn Snæbjarnarson) |
License | Apache-2.0 License |
Author | Kenneth Enevoldsen |
Label Scheme
View label scheme (211 labels for 4 components)
Component | Labels |
---|---|
tagger |
ADJ , ADP , ADV , AUX , CCONJ , DET , INTJ , NOUN , NUM , PART , PRON , PROPN , PUNCT , SCONJ , SYM , VERB , X |
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 , NumType=Ord|POS=ADJ , POS=CCONJ , Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN , POS=VERB|VerbForm=Inf|Voice=Act , Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs , Degree=Sup|POS=ADV , Degree=Pos|POS=ADV , Gender=Com|Number=Sing|POS=DET|PronType=Ind , Number=Plur|POS=DET|PronType=Ind , POS=ADP , POS=ADV|PartType=Inf , Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs , Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act , Definite=Def|Degree=Pos|Number=Sing|POS=ADJ , Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs , Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act , POS=ADP|PartType=Inf , Definite=Ind|Degree=Pos|Gender=Com|Number=Sing|POS=ADJ , NumType=Card|POS=NUM , Degree=Pos|POS=ADJ , Definite=Ind|Number=Sing|POS=AUX|Tense=Past|VerbForm=Part , POS=PART|PartType=Inf , Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes , Definite=Def|Gender=Com|Number=Plur|POS=NOUN , Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN , Number[psor]=Plur|POS=DET|Person=3|Poss=Yes|PronType=Prs , POS=VERB|Tense=Pres|VerbForm=Part , Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs , Case=Gen|Definite=Def|Gender=Com|Number=Sing|POS=NOUN , Definite=Def|Degree=Sup|Number=Plur|POS=ADJ , Case=Acc|Number=Plur|POS=PRON|Person=3|PronType=Prs , POS=AUX|VerbForm=Inf|Voice=Act , Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ , Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ , Degree=Cmp|POS=ADJ , POS=PRON|PartType=Inf , Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ , Case=Nom|Gender=Com|POS=PRON|PronType=Ind , Number=Plur|POS=PRON|PronType=Ind , POS=INTJ , Gender=Com|Number=Sing|POS=DET|PronType=Dem , Case=Gen|Number=Plur|POS=DET|PronType=Ind , Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass , Definite=Def|Gender=Neut|Number=Plur|POS=NOUN , Degree=Cmp|POS=ADV , Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form , Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs , Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes , Case=Gen|POS=PROPN , Gender=Neut|Number=Sing|POS=PRON|PronType=Ind , Number=Plur|POS=VERB|Tense=Past|VerbForm=Part , Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes , Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs , Definite=Def|Degree=Sup|POS=ADJ , Gender=Neut|Number=Sing|POS=DET|PronType=Ind , Case=Gen|Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN , Gender=Neut|Number=Sing|POS=DET|PronType=Dem , Definite=Def|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part , POS=PRON|PronType=Dem , Degree=Pos|Gender=Com|Number=Sing|POS=ADJ , Number=Plur|POS=NUM , POS=VERB|VerbForm=Inf|Voice=Pass , Definite=Def|Degree=Sup|Number=Sing|POS=ADJ , Number=Sing|POS=PRON|PronType=Int,Rel , Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs , Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs , Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs , POS=PRON , Definite=Ind|Number=Sing|POS=NOUN , Definite=Ind|Number=Sing|POS=NUM , Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN , Foreign=Yes|POS=ADV , POS=NOUN , Case=Gen|Definite=Def|Gender=Neut|Number=Sing|POS=NOUN , Gender=Com|Number=Plur|POS=NOUN , Gender=Neut|Number=Sing|POS=PRON|PronType=Int,Rel , Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs , Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs , Gender=Com|Number=Sing|POS=PRON|PronType=Ind , Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN , Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ , Degree=Sup|POS=ADJ , Degree=Pos|Number=Sing|POS=ADJ , Mood=Imp|POS=VERB , Case=Nom|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs , Case=Acc|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs , POS=X , Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN , Number=Plur|POS=PRON|PronType=Dem , Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs , Number=Plur|POS=PRON|PronType=Int,Rel , Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes , Degree=Cmp|Number=Plur|POS=ADJ , Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs , Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form , Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs , Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs , Gender=Com|POS=PRON|PronType=Int,Rel , Case=Gen|Degree=Pos|Number=Plur|POS=ADJ , Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes , POS=VERB|VerbForm=Ger , Gender=Com|Number=Sing|POS=PRON|PronType=Dem , Case=Gen|POS=PRON|PronType=Int,Rel , Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass , Abbr=Yes|POS=X , Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN , Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs , Definite=Ind|Number=Plur|POS=NOUN , Foreign=Yes|POS=X , Number=Plur|POS=PRON|PronType=Rcp , Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs , Case=Gen|Degree=Cmp|POS=ADJ , Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN , Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs , Gender=Neut|Number=Sing|POS=PRON|PronType=Dem , Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form , Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form , Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes , Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs , Case=Gen|Number=Plur|POS=PRON|PronType=Rcp , POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs , POS=SYM , POS=DET|PronType=Dem , Gender=Com|Number=Sing|POS=NUM , Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs , Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part , Definite=Def|Degree=Abs|POS=ADJ , POS=VERB|Tense=Pres , Definite=Ind|Gender=Neut|Number=Sing|POS=NUM , Degree=Abs|POS=ADV , Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ , Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel , POS=VERB|Tense=Past|VerbForm=Part , Definite=Ind|Degree=Sup|Number=Sing|POS=ADJ , Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs , Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs , Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs , Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs , Definite=Ind|POS=NOUN , Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind , Definite=Ind|Gender=Com|Number=Sing|POS=NUM , Definite=Def|Number=Plur|POS=NOUN , Case=Gen|POS=NOUN , POS=AUX|Tense=Pres|VerbForm=Part |
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 |
99.92 |
TOKEN_P |
99.70 |
TOKEN_R |
99.77 |
TOKEN_F |
99.74 |
SENTS_P |
98.42 |
SENTS_R |
99.29 |
SENTS_F |
98.85 |
TAG_ACC |
98.47 |
POS_ACC |
98.57 |
MORPH_ACC |
98.14 |
MORPH_MICRO_P |
99.10 |
MORPH_MICRO_R |
98.77 |
MORPH_MICRO_F |
98.93 |
DEP_UAS |
90.84 |
DEP_LAS |
88.33 |
ENTS_P |
87.08 |
ENTS_R |
84.59 |
ENTS_F |
85.82 |
COREF_LEA_F1 |
41.18 |
COREF_LEA_PRECISION |
48.89 |
COREF_LEA_RECALL |
35.58 |
NEL_SCORE |
80.12 |
NEL_MICRO_P |
99.23 |
NEL_MICRO_R |
67.19 |
NEL_MICRO_F |
80.12 |
NEL_MACRO_P |
99.39 |
NEL_MACRO_R |
65.99 |
NEL_MACRO_F |
78.15 |
Training
This model was trained using spaCy and logged to Weights & Biases. You can find all the training logs here.