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Update spaCy pipeline
Browse files- LICENSES_SOURCES +1 -1
- README.md +32 -26
- accuracy.json +170 -159
- attribute_ruler/patterns +0 -0
- config.cfg +30 -26
- da_core_news_md-any-py3-none-any.whl +2 -2
- meta.json +176 -164
- morphologizer/cfg +3 -1
- morphologizer/model +0 -0
- ner/model +0 -0
- parser/model +0 -0
- parser/moves +1 -1
- senter/cfg +1 -1
- senter/model +0 -0
- tok2vec/model +0 -0
- tokenizer +0 -0
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
LICENSES_SOURCES
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# UD Danish DDT v2.
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* Author: Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara
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* URL: https://github.com/UniversalDependencies/UD_Danish-DDT
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# UD Danish DDT v2.8
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* Author: Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara
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* URL: https://github.com/UniversalDependencies/UD_Danish-DDT
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README.md
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- token-classification
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language:
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- da
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license:
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model-index:
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- name: da_core_news_md
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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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 Accuracy
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type: accuracy
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value: 0.
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.
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- name: SENTER Recall
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type: recall
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value: 0.
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- name: SENTER F Score
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type: f_score
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value: 0.
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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 Dependencies Accuracy
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type: accuracy
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value: 0.
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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 Dependencies Accuracy
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type: accuracy
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value: 0.
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---
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### Details: https://spacy.io/models/da#da_core_news_md
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_core_news_md` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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| **Sources** | [UD Danish DDT v2.
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| **License** | `CC BY-SA 4.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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<details>
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<summary>View label scheme (
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| Component | Labels |
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| --- | --- |
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| **`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` |
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| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `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:
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| **`senter`** | `I`, `S` |
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| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.95 |
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| `LEMMA_ACC` | 84.91 |
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| `ENTS_R` | 80.21 |
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| `ENTS_F` | 80.63 |
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| `SENTS_P` | 83.24 |
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| `SENTS_R` | 82.80 |
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| `SENTS_F` | 83.02 |
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- token-classification
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language:
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- da
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license: cc-by-sa-4.0
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model-index:
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- name: da_core_news_md
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8075313808
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- name: NER Recall
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type: recall
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value: 0.8041666667
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- name: NER F Score
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type: f_score
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value: 0.8058455115
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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 Accuracy
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type: accuracy
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value: 0.962905569
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.908438061
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- name: SENTER Recall
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type: recall
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value: 0.8971631206
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- name: SENTER F Score
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type: f_score
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value: 0.902765388
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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 Dependencies Accuracy
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type: accuracy
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value: 0.8220632614
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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 Dependencies Accuracy
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type: accuracy
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value: 0.8220632614
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---
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### Details: https://spacy.io/models/da#da_core_news_md
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_core_news_md` |
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| **Version** | `3.2.0` |
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| **spaCy** | `>=3.2.0,<3.3.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[Lemmatization Lists](https://github.com/michmech/lemmatization-lists/) (Michal Měchura)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
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| **License** | `CC BY-SA 4.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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<details>
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<summary>View label scheme (195 labels for 4 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`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` |
|
84 |
+
| **`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` |
|
85 |
| **`senter`** | `I`, `S` |
|
86 |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
|
87 |
|
|
|
92 |
| Type | Score |
|
93 |
| --- | --- |
|
94 |
| `TOKEN_ACC` | 99.95 |
|
95 |
+
| `TOKEN_P` | 99.78 |
|
96 |
+
| `TOKEN_R` | 99.75 |
|
97 |
+
| `TOKEN_F` | 99.76 |
|
98 |
+
| `POS_ACC` | 96.29 |
|
99 |
+
| `MORPH_ACC` | 94.88 |
|
100 |
+
| `MORPH_MICRO_P` | 96.65 |
|
101 |
+
| `MORPH_MICRO_R` | 96.11 |
|
102 |
+
| `MORPH_MICRO_F` | 96.38 |
|
103 |
+
| `SENTS_P` | 90.84 |
|
104 |
+
| `SENTS_R` | 89.72 |
|
105 |
+
| `SENTS_F` | 90.28 |
|
106 |
+
| `DEP_UAS` | 82.21 |
|
107 |
+
| `DEP_LAS` | 78.13 |
|
108 |
+
| `TAG_ACC` | 96.29 |
|
109 |
| `LEMMA_ACC` | 84.91 |
|
110 |
+
| `ENTS_P` | 80.75 |
|
111 |
+
| `ENTS_R` | 80.42 |
|
112 |
+
| `ENTS_F` | 80.58 |
|
|
|
|
|
|
|
|
|
|
accuracy.json
CHANGED
@@ -1,88 +1,83 @@
|
|
1 |
{
|
2 |
"token_acc": 0.9994672349,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
8 |
-
"
|
9 |
-
"
|
10 |
-
"
|
11 |
-
"ents_f": 0.8062827225,
|
12 |
-
"sents_p": 0.8324420677,
|
13 |
-
"sents_r": 0.8280141844,
|
14 |
-
"sents_f": 0.8302222222,
|
15 |
-
"speed": 9986.5434782999,
|
16 |
"morph_per_feat": {
|
17 |
"Mood": {
|
18 |
-
"p": 0.
|
19 |
-
"r": 0.
|
20 |
-
"f": 0.
|
21 |
},
|
22 |
"Tense": {
|
23 |
-
"p": 0.
|
24 |
-
"r": 0.
|
25 |
-
"f": 0.
|
26 |
},
|
27 |
"VerbForm": {
|
28 |
-
"p": 0.
|
29 |
-
"r": 0.
|
30 |
-
"f": 0.
|
31 |
},
|
32 |
"Voice": {
|
33 |
-
"p": 0.
|
34 |
-
"r": 0.
|
35 |
-
"f": 0.
|
36 |
},
|
37 |
"Definite": {
|
38 |
-
"p": 0.
|
39 |
-
"r": 0.
|
40 |
-
"f": 0.
|
41 |
},
|
42 |
"Gender": {
|
43 |
-
"p": 0.
|
44 |
-
"r": 0.
|
45 |
-
"f": 0.
|
46 |
},
|
47 |
"Number": {
|
48 |
-
"p": 0.
|
49 |
-
"r": 0.
|
50 |
-
"f": 0.
|
51 |
},
|
52 |
"AdpType": {
|
53 |
-
"p": 0.
|
54 |
-
"r": 0.
|
55 |
-
"f": 0.
|
56 |
},
|
57 |
"PartType": {
|
58 |
-
"p": 0
|
59 |
"r": 1.0,
|
60 |
-
"f": 0
|
61 |
},
|
62 |
"Case": {
|
63 |
-
"p": 0.
|
64 |
-
"r": 0.
|
65 |
-
"f": 0.
|
66 |
},
|
67 |
"Person": {
|
68 |
-
"p": 0.
|
69 |
-
"r": 0.
|
70 |
-
"f": 0.
|
71 |
},
|
72 |
"PronType": {
|
73 |
-
"p": 0.
|
74 |
-
"r": 0.
|
75 |
-
"f": 0.
|
76 |
},
|
77 |
"NumType": {
|
78 |
-
"p": 0.
|
79 |
"r": 0.9470198675,
|
80 |
-
"f": 0.
|
81 |
},
|
82 |
"Degree": {
|
83 |
-
"p": 0.
|
84 |
-
"r": 0.
|
85 |
-
"f": 0.
|
86 |
},
|
87 |
"Reflex": {
|
88 |
"p": 1.0,
|
@@ -95,14 +90,14 @@
|
|
95 |
"f": 0.9828571429
|
96 |
},
|
97 |
"Poss": {
|
98 |
-
"p": 0.
|
99 |
"r": 1.0,
|
100 |
-
"f": 0.
|
101 |
},
|
102 |
"Foreign": {
|
103 |
-
"p":
|
104 |
"r": 0.4,
|
105 |
-
"f": 0.
|
106 |
},
|
107 |
"Abbr": {
|
108 |
"p": 0.0,
|
@@ -115,141 +110,146 @@
|
|
115 |
"f": 1.0
|
116 |
},
|
117 |
"Polite": {
|
118 |
-
"p": 0
|
119 |
-
"r": 0.
|
120 |
-
"f": 0.
|
121 |
}
|
122 |
},
|
|
|
|
|
|
|
|
|
|
|
123 |
"dep_las_per_type": {
|
124 |
"advmod": {
|
125 |
-
"p": 0.
|
126 |
-
"r": 0.
|
127 |
-
"f": 0.
|
128 |
},
|
129 |
"root": {
|
130 |
-
"p": 0.
|
131 |
-
"r": 0.
|
132 |
-
"f": 0.
|
133 |
},
|
134 |
"nsubj": {
|
135 |
-
"p": 0.
|
136 |
-
"r": 0.
|
137 |
-
"f": 0.
|
138 |
},
|
139 |
"case": {
|
140 |
-
"p": 0.
|
141 |
-
"r": 0.
|
142 |
-
"f": 0.
|
143 |
},
|
144 |
"obl": {
|
145 |
-
"p": 0.
|
146 |
-
"r": 0.
|
147 |
-
"f": 0.
|
148 |
},
|
149 |
"cc": {
|
150 |
-
"p": 0.
|
151 |
-
"r": 0.
|
152 |
-
"f": 0.
|
153 |
},
|
154 |
"conj": {
|
155 |
-
"p": 0.
|
156 |
-
"r": 0.
|
157 |
-
"f": 0.
|
158 |
},
|
159 |
"obj": {
|
160 |
-
"p": 0.
|
161 |
"r": 0.8485436893,
|
162 |
-
"f": 0.
|
163 |
},
|
164 |
"aux": {
|
165 |
-
"p": 0.
|
166 |
-
"r": 0.
|
167 |
-
"f": 0.
|
168 |
},
|
169 |
"acl:relcl": {
|
170 |
-
"p": 0.
|
171 |
-
"r": 0.
|
172 |
-
"f": 0.
|
173 |
},
|
174 |
-
"
|
175 |
-
"p": 0.
|
176 |
-
"r": 0.
|
177 |
-
"f": 0.
|
178 |
},
|
179 |
"det": {
|
180 |
-
"p": 0.
|
181 |
-
"r": 0.
|
182 |
-
"f": 0.
|
183 |
},
|
184 |
"amod": {
|
185 |
-
"p": 0.
|
186 |
-
"r": 0.
|
187 |
-
"f": 0.
|
188 |
},
|
189 |
"nmod:poss": {
|
190 |
-
"p": 0.
|
191 |
-
"r": 0.
|
192 |
-
"f": 0.
|
193 |
},
|
194 |
"ccomp": {
|
195 |
-
"p": 0.
|
196 |
-
"r": 0.
|
197 |
-
"f": 0.
|
198 |
},
|
199 |
"nummod": {
|
200 |
-
"p": 0.
|
201 |
-
"r": 0.
|
202 |
-
"f": 0.
|
203 |
},
|
204 |
"flat": {
|
205 |
-
"p": 0.
|
206 |
-
"r": 0.
|
207 |
-
"f": 0.
|
208 |
},
|
209 |
"compound:prt": {
|
210 |
-
"p": 0.
|
211 |
-
"r": 0.
|
212 |
-
"f": 0.
|
213 |
},
|
214 |
"advcl": {
|
215 |
-
"p": 0.
|
216 |
-
"r": 0.
|
217 |
-
"f": 0.
|
218 |
},
|
219 |
"mark": {
|
220 |
-
"p": 0.
|
221 |
-
"r": 0.
|
222 |
-
"f": 0.
|
223 |
},
|
224 |
"cop": {
|
225 |
-
"p": 0.
|
226 |
-
"r": 0.
|
227 |
-
"f": 0.
|
228 |
},
|
229 |
"dep": {
|
230 |
-
"p": 0.
|
231 |
"r": 0.2641509434,
|
232 |
-
"f": 0.
|
233 |
},
|
234 |
"nmod": {
|
235 |
-
"p": 0.
|
236 |
-
"r": 0.
|
237 |
-
"f": 0.
|
238 |
},
|
239 |
"iobj": {
|
240 |
-
"p": 0.
|
241 |
"r": 0.5909090909,
|
242 |
-
"f": 0.
|
243 |
},
|
244 |
"xcomp": {
|
245 |
-
"p": 0.
|
246 |
-
"r": 0.
|
247 |
-
"f": 0.
|
248 |
},
|
249 |
"list": {
|
250 |
-
"p": 0.
|
251 |
-
"r": 0.
|
252 |
-
"f": 0.
|
253 |
},
|
254 |
"vocative": {
|
255 |
"p": 0.0,
|
@@ -257,51 +257,62 @@
|
|
257 |
"f": 0.0
|
258 |
},
|
259 |
"fixed": {
|
260 |
-
"p": 0.
|
261 |
-
"r": 0.
|
262 |
-
"f": 0.
|
263 |
},
|
264 |
"expl": {
|
265 |
-
"p": 0.
|
266 |
-
"r": 0.
|
267 |
-
"f": 0.
|
268 |
},
|
269 |
"appos": {
|
270 |
-
"p": 0.
|
271 |
"r": 0.5151515152,
|
272 |
-
"f": 0.
|
273 |
},
|
274 |
"obl:tmod": {
|
275 |
-
"p": 0.
|
276 |
-
"r": 0.
|
277 |
-
"f": 0.
|
278 |
},
|
279 |
"discourse": {
|
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|
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|
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|
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|
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|
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306 |
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|
308 |
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|
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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|
315 |
}
|
316 |
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},
|
317 |
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"speed": 10055.5372609128
|
318 |
}
|
attribute_ruler/patterns
CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
|
|
config.cfg
CHANGED
@@ -1,10 +1,8 @@
|
|
1 |
[paths]
|
2 |
-
train =
|
3 |
-
dev =
|
4 |
-
vectors =
|
5 |
-
raw = null
|
6 |
init_tok2vec = null
|
7 |
-
vocab_data = null
|
8 |
|
9 |
[system]
|
10 |
gpu_allocator = null
|
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
24 |
|
25 |
[components.attribute_ruler]
|
26 |
factory = "attribute_ruler"
|
|
|
27 |
validate = false
|
28 |
|
29 |
[components.lemmatizer]
|
@@ -31,9 +30,13 @@ factory = "lemmatizer"
|
|
31 |
mode = "lookup"
|
32 |
model = null
|
33 |
overwrite = false
|
|
|
34 |
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
|
|
|
|
|
|
|
37 |
|
38 |
[components.morphologizer.model]
|
39 |
@architectures = "spacy.Tagger.v1"
|
@@ -48,6 +51,7 @@ upstream = "tok2vec"
|
|
48 |
factory = "ner"
|
49 |
incorrect_spans_key = null
|
50 |
moves = null
|
|
|
51 |
update_with_oracle_cut_size = 100
|
52 |
|
53 |
[components.ner.model]
|
@@ -65,8 +69,8 @@ nO = null
|
|
65 |
[components.ner.model.tok2vec.embed]
|
66 |
@architectures = "spacy.MultiHashEmbed.v2"
|
67 |
width = 96
|
68 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
69 |
-
rows = [5000,2500,2500,2500]
|
70 |
include_static_vectors = true
|
71 |
|
72 |
[components.ner.model.tok2vec.encode]
|
@@ -81,6 +85,7 @@ factory = "parser"
|
|
81 |
learn_tokens = false
|
82 |
min_action_freq = 30
|
83 |
moves = null
|
|
|
84 |
update_with_oracle_cut_size = 100
|
85 |
|
86 |
[components.parser.model]
|
@@ -99,6 +104,8 @@ upstream = "tok2vec"
|
|
99 |
|
100 |
[components.senter]
|
101 |
factory = "senter"
|
|
|
|
|
102 |
|
103 |
[components.senter.model]
|
104 |
@architectures = "spacy.Tagger.v1"
|
@@ -110,8 +117,8 @@ nO = null
|
|
110 |
[components.senter.model.tok2vec.embed]
|
111 |
@architectures = "spacy.MultiHashEmbed.v2"
|
112 |
width = 16
|
113 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
114 |
-
rows = [1000,500,500,500]
|
115 |
include_static_vectors = true
|
116 |
|
117 |
[components.senter.model.tok2vec.encode]
|
@@ -130,8 +137,8 @@ factory = "tok2vec"
|
|
130 |
[components.tok2vec.model.embed]
|
131 |
@architectures = "spacy.MultiHashEmbed.v2"
|
132 |
width = ${components.tok2vec.model.encode:width}
|
133 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
134 |
-
rows = [5000,2500,2500,2500]
|
135 |
include_static_vectors = true
|
136 |
|
137 |
[components.tok2vec.model.encode]
|
@@ -145,22 +152,19 @@ maxout_pieces = 3
|
|
145 |
|
146 |
[corpora.dev]
|
147 |
@readers = "spacy.Corpus.v1"
|
148 |
-
|
149 |
-
max_length = 0
|
150 |
-
path = ${paths:dev}
|
151 |
gold_preproc = false
|
|
|
|
|
152 |
augmenter = null
|
153 |
|
154 |
[corpora.train]
|
155 |
@readers = "spacy.Corpus.v1"
|
156 |
-
path = ${paths
|
157 |
-
max_length = 5000
|
158 |
gold_preproc = false
|
|
|
159 |
limit = 0
|
160 |
-
|
161 |
-
[corpora.train.augmenter]
|
162 |
-
@augmenters = "spacy.lower_case.v1"
|
163 |
-
level = 0.1
|
164 |
|
165 |
[training]
|
166 |
train_corpus = "corpora.train"
|
@@ -191,9 +195,8 @@ compound = 1.001
|
|
191 |
t = 0.0
|
192 |
|
193 |
[training.logger]
|
194 |
-
@loggers = "spacy.
|
195 |
-
|
196 |
-
remove_config_values = []
|
197 |
|
198 |
[training.optimizer]
|
199 |
@optimizers = "Adam.v1"
|
@@ -216,16 +219,17 @@ dep_las_per_type = null
|
|
216 |
sents_p = null
|
217 |
sents_r = null
|
218 |
sents_f = 0.02
|
219 |
-
lemma_acc = 0.
|
220 |
-
ents_f = 0.
|
221 |
ents_p = 0.0
|
222 |
ents_r = 0.0
|
223 |
ents_per_type = null
|
|
|
224 |
|
225 |
[pretraining]
|
226 |
|
227 |
[initialize]
|
228 |
-
vocab_data =
|
229 |
vectors = ${paths.vectors}
|
230 |
init_tok2vec = ${paths.init_tok2vec}
|
231 |
before_init = null
|
|
|
1 |
[paths]
|
2 |
+
train = null
|
3 |
+
dev = null
|
4 |
+
vectors = null
|
|
|
5 |
init_tok2vec = null
|
|
|
6 |
|
7 |
[system]
|
8 |
gpu_allocator = null
|
|
|
22 |
|
23 |
[components.attribute_ruler]
|
24 |
factory = "attribute_ruler"
|
25 |
+
scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
|
26 |
validate = false
|
27 |
|
28 |
[components.lemmatizer]
|
|
|
30 |
mode = "lookup"
|
31 |
model = null
|
32 |
overwrite = false
|
33 |
+
scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
34 |
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
|
37 |
+
extend = false
|
38 |
+
overwrite = true
|
39 |
+
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
40 |
|
41 |
[components.morphologizer.model]
|
42 |
@architectures = "spacy.Tagger.v1"
|
|
|
51 |
factory = "ner"
|
52 |
incorrect_spans_key = null
|
53 |
moves = null
|
54 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
55 |
update_with_oracle_cut_size = 100
|
56 |
|
57 |
[components.ner.model]
|
|
|
69 |
[components.ner.model.tok2vec.embed]
|
70 |
@architectures = "spacy.MultiHashEmbed.v2"
|
71 |
width = 96
|
72 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
73 |
+
rows = [5000,2500,2500,2500,100]
|
74 |
include_static_vectors = true
|
75 |
|
76 |
[components.ner.model.tok2vec.encode]
|
|
|
85 |
learn_tokens = false
|
86 |
min_action_freq = 30
|
87 |
moves = null
|
88 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
89 |
update_with_oracle_cut_size = 100
|
90 |
|
91 |
[components.parser.model]
|
|
|
104 |
|
105 |
[components.senter]
|
106 |
factory = "senter"
|
107 |
+
overwrite = false
|
108 |
+
scorer = {"@scorers":"spacy.senter_scorer.v1"}
|
109 |
|
110 |
[components.senter.model]
|
111 |
@architectures = "spacy.Tagger.v1"
|
|
|
117 |
[components.senter.model.tok2vec.embed]
|
118 |
@architectures = "spacy.MultiHashEmbed.v2"
|
119 |
width = 16
|
120 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
121 |
+
rows = [1000,500,500,500,50]
|
122 |
include_static_vectors = true
|
123 |
|
124 |
[components.senter.model.tok2vec.encode]
|
|
|
137 |
[components.tok2vec.model.embed]
|
138 |
@architectures = "spacy.MultiHashEmbed.v2"
|
139 |
width = ${components.tok2vec.model.encode:width}
|
140 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
141 |
+
rows = [5000,2500,2500,2500,100]
|
142 |
include_static_vectors = true
|
143 |
|
144 |
[components.tok2vec.model.encode]
|
|
|
152 |
|
153 |
[corpora.dev]
|
154 |
@readers = "spacy.Corpus.v1"
|
155 |
+
path = ${paths.dev}
|
|
|
|
|
156 |
gold_preproc = false
|
157 |
+
max_length = 0
|
158 |
+
limit = 0
|
159 |
augmenter = null
|
160 |
|
161 |
[corpora.train]
|
162 |
@readers = "spacy.Corpus.v1"
|
163 |
+
path = ${paths.train}
|
|
|
164 |
gold_preproc = false
|
165 |
+
max_length = 0
|
166 |
limit = 0
|
167 |
+
augmenter = null
|
|
|
|
|
|
|
168 |
|
169 |
[training]
|
170 |
train_corpus = "corpora.train"
|
|
|
195 |
t = 0.0
|
196 |
|
197 |
[training.logger]
|
198 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
199 |
+
progress_bar = false
|
|
|
200 |
|
201 |
[training.optimizer]
|
202 |
@optimizers = "Adam.v1"
|
|
|
219 |
sents_p = null
|
220 |
sents_r = null
|
221 |
sents_f = 0.02
|
222 |
+
lemma_acc = 0.5
|
223 |
+
ents_f = 0.16
|
224 |
ents_p = 0.0
|
225 |
ents_r = 0.0
|
226 |
ents_per_type = null
|
227 |
+
speed = 0.0
|
228 |
|
229 |
[pretraining]
|
230 |
|
231 |
[initialize]
|
232 |
+
vocab_data = null
|
233 |
vectors = ${paths.vectors}
|
234 |
init_tok2vec = ${paths.init_tok2vec}
|
235 |
before_init = null
|
da_core_news_md-any-py3-none-any.whl
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
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3 |
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size
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|
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size 48943545
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meta.json
CHANGED
@@ -1,14 +1,14 @@
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|
1 |
{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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6 |
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7 |
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8 |
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11 |
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12 |
"vectors":{
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13 |
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14 |
"vectors":20000,
|
@@ -183,6 +183,7 @@
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|
183 |
"acl:relcl",
|
184 |
"advcl",
|
185 |
"advmod",
|
|
|
186 |
"amod",
|
187 |
"appos",
|
188 |
"aux",
|
@@ -206,7 +207,7 @@
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|
206 |
"nummod",
|
207 |
"obj",
|
208 |
"obl",
|
209 |
-
"obl:
|
210 |
"obl:tmod",
|
211 |
"punct",
|
212 |
"xcomp"
|
@@ -250,89 +251,84 @@
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|
250 |
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|
251 |
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|
252 |
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|
253 |
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254 |
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255 |
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256 |
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@@ -345,14 +341,14 @@
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@@ -365,141 +361,146 @@
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|
@@ -507,57 +508,68 @@
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|
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|
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|
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{
|
560 |
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"name":"UD Danish DDT v2.
|
561 |
"url":"https://github.com/UniversalDependencies/UD_Danish-DDT",
|
562 |
"license":"CC BY-SA 4.0",
|
563 |
"author":"Johannsen, Anders; Mart\u00ednez Alonso, H\u00e9ctor; Plank, Barbara"
|
|
|
1 |
{
|
2 |
"lang":"da",
|
3 |
"name":"core_news_md",
|
4 |
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"version":"3.2.0",
|
5 |
"description":"Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
|
6 |
"author":"Explosion",
|
7 |
"email":"contact@explosion.ai",
|
8 |
"url":"https://explosion.ai",
|
9 |
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|
10 |
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"spacy_version":">=3.2.0,<3.3.0",
|
11 |
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"spacy_git_version":"bb26550e2",
|
12 |
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|
13 |
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|
14 |
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|
|
|
183 |
"acl:relcl",
|
184 |
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|
185 |
"advmod",
|
186 |
+
"advmod:lmod",
|
187 |
"amod",
|
188 |
"appos",
|
189 |
"aux",
|
|
|
207 |
"nummod",
|
208 |
"obj",
|
209 |
"obl",
|
210 |
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"obl:lmod",
|
211 |
"obl:tmod",
|
212 |
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|
213 |
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|
|
|
251 |
],
|
252 |
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|
253 |
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|
254 |
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|
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|
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|
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|
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|
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morphologizer/cfg
CHANGED
@@ -1,4 +1,5 @@
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1 |
{
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@@ -316,5 +317,6 @@
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4 |
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ner/model
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senter/cfg
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senter/model
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tok2vec/model
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vocab/strings.json
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vocab/vectors.cfg
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