osanseviero
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Update spaCy pipeline
Browse files- LICENSES_SOURCES +2 -2
- README.md +33 -27
- accuracy.json +203 -192
- attribute_ruler/patterns +0 -0
- config.cfg +30 -26
- meta.json +215 -199
- morphologizer/cfg +5 -3
- morphologizer/model +1 -1
- nb_core_news_md-any-py3-none-any.whl +2 -2
- ner/model +2 -2
- ner/moves +1 -1
- parser/model +2 -2
- parser/moves +1 -1
- senter/cfg +1 -1
- senter/model +2 -2
- tok2vec/model +2 -2
- tokenizer +2 -2
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
LICENSES_SOURCES
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# UD Norwegian Bokmaal
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* Author: Øvrelid, Lilja; Jørgensen, Fredrik; Hohle, Petter
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* URL: https://github.com/UniversalDependencies/UD_Norwegian-Bokmaal
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# NorNE: Norwegian Named Entities (commit:
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* Author: Language Technology Group (University of Oslo)
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* URL: https://github.com/ltgoslo/norne
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# UD Norwegian Bokmaal v2.8
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* Author: Øvrelid, Lilja; Jørgensen, Fredrik; Hohle, Petter
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* URL: https://github.com/UniversalDependencies/UD_Norwegian-Bokmaal
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# NorNE: Norwegian Named Entities (commit: bd311de5)
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* Author: Language Technology Group (University of Oslo)
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* URL: https://github.com/ltgoslo/norne
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README.md
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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/nb#nb_core_news_md
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| Feature | Description |
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| --- | --- |
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| **Name** | `nb_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 Norwegian Bokmaal
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| **License** | `MIT` |
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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`** | `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=PROPN`, `POS=X`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=ADV`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|POS=PROPN`, `POS=NOUN`, `Gender=Masc\|POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Int`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Abbr=Yes\|Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADP`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Number=Plur\|POS=DET\|PronType=Ind`, `Degree=Pos\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Hum\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=DET\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbForm=Inf`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Prs`, `POS=SYM`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADV`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Def\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Def\|NumType=Card\|POS=NUM`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `POS=INTJ`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADJ`, `Animacy=Hum\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|POS=PROPN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Sup\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `POS=DET\|PronType=Ind`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem,Ind`, `Animacy=Hum\|POS=PRON\|Poss=Yes\|PronType=Int`, `Abbr=Yes\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `
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| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `xcomp` |
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| **`senter`** | `I`, `S` |
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| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
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</details>
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.90 |
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8218527316
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- name: NER Recall
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type: recall
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value: 0.8199052133
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- name: NER F Score
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type: f_score
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value: 0.8208778173
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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: 0.9737748271
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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: 0.9382561535
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- name: SENTER Recall
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type: recall
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value: 0.9335823993
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- name: SENTER F Score
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type: f_score
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value: 0.9359134415
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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: 0.8940746182
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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: 0.8940746182
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---
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### Details: https://spacy.io/models/nb#nb_core_news_md
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| Feature | Description |
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| --- | --- |
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| **Name** | `nb_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 Norwegian Bokmaal v2.8](https://github.com/UniversalDependencies/UD_Norwegian-Bokmaal) (Øvrelid, Lilja; Jørgensen, Fredrik; Hohle, Petter)<br />[NorNE: Norwegian Named Entities (commit: bd311de5)](https://github.com/ltgoslo/norne) (Language Technology Group (University of Oslo))<br />[Norsk Ordbank in Norwegian Bokmål](https://www.nb.no/sprakbanken/show?serial=oai%3Anb.no%3Asbr-5&lang=en) (CLARINO NB - Språkbanken, Nasjonalbiblioteket, Norway)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
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| **License** | `MIT` |
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| **Author** | [Explosion](https://explosion.ai) |
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<details>
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<summary>View label scheme (250 labels for 4 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`morphologizer`** | `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=PROPN`, `POS=X`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=ADV`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|POS=PROPN`, `POS=NOUN`, `Gender=Masc\|POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Int`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Abbr=Yes\|Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADP`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Number=Plur\|POS=DET\|PronType=Ind`, `Degree=Pos\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Hum\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=DET\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbForm=Inf`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Prs`, `POS=SYM`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADV`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Def\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Def\|NumType=Card\|POS=NUM`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `POS=INTJ`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADJ`, `Animacy=Hum\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|POS=PROPN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Sup\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `POS=DET\|PronType=Ind`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Number=Plur\|POS=NOUN`, `POS=PRON\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem,Ind`, `Animacy=Hum\|POS=PRON\|Poss=Yes\|PronType=Int`, `Abbr=Yes\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Rcp`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Art`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Neut\|Number=Plur,Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Tot`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Plur,Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Gen,Nom\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Gen\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Abbr=Yes\|Gender=Masc\|POS=NOUN`, `Abbr=Yes\|Case=Gen\|POS=NOUN`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|Degree=Pos\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=NOUN`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=NOUN` |
|
84 |
| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `xcomp` |
|
85 |
| **`senter`** | `I`, `S` |
|
86 |
+
| **`ner`** | `DRV`, `EVT`, `GPE_LOC`, `GPE_ORG`, `LOC`, `MISC`, `ORG`, `PER`, `PROD` |
|
87 |
|
88 |
</details>
|
89 |
|
|
|
92 |
| Type | Score |
|
93 |
| --- | --- |
|
94 |
| `TOKEN_ACC` | 99.90 |
|
95 |
+
| `TOKEN_P` | 99.71 |
|
96 |
+
| `TOKEN_R` | 99.53 |
|
97 |
+
| `TOKEN_F` | 99.62 |
|
98 |
+
| `POS_ACC` | 97.38 |
|
99 |
+
| `MORPH_ACC` | 95.96 |
|
100 |
+
| `MORPH_MICRO_P` | 97.70 |
|
101 |
+
| `MORPH_MICRO_R` | 96.82 |
|
102 |
+
| `MORPH_MICRO_F` | 97.26 |
|
103 |
+
| `SENTS_P` | 93.83 |
|
104 |
+
| `SENTS_R` | 93.36 |
|
105 |
+
| `SENTS_F` | 93.59 |
|
106 |
+
| `DEP_UAS` | 89.41 |
|
107 |
+
| `DEP_LAS` | 86.32 |
|
108 |
+
| `TAG_ACC` | 97.38 |
|
109 |
+
| `LEMMA_ACC` | 76.73 |
|
110 |
+
| `ENTS_P` | 82.19 |
|
111 |
+
| `ENTS_R` | 81.99 |
|
112 |
+
| `ENTS_F` | 82.09 |
|
accuracy.json
CHANGED
@@ -1,68 +1,63 @@
|
|
1 |
{
|
2 |
"token_acc": 0.9990350152,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
8 |
-
"
|
9 |
-
"
|
10 |
-
"
|
11 |
-
"ents_f": 0.8426666667,
|
12 |
-
"sents_p": 0.9275123558,
|
13 |
-
"sents_r": 0.9328914664,
|
14 |
-
"sents_f": 0.9301941347,
|
15 |
-
"speed": 11023.0847447595,
|
16 |
"morph_per_feat": {
|
17 |
"Definite": {
|
18 |
-
"p": 0.
|
19 |
-
"r": 0.
|
20 |
-
"f": 0.
|
21 |
},
|
22 |
"Gender": {
|
23 |
-
"p": 0.
|
24 |
-
"r": 0.
|
25 |
-
"f": 0.
|
26 |
},
|
27 |
"Number": {
|
28 |
-
"p": 0.
|
29 |
-
"r": 0.
|
30 |
-
"f": 0.
|
31 |
},
|
32 |
"Mood": {
|
33 |
-
"p": 0.
|
34 |
-
"r": 0.
|
35 |
-
"f": 0.
|
36 |
},
|
37 |
"Tense": {
|
38 |
-
"p": 0.
|
39 |
-
"r": 0.
|
40 |
-
"f": 0.
|
41 |
},
|
42 |
"VerbForm": {
|
43 |
-
"p": 0.
|
44 |
-
"r": 0.
|
45 |
-
"f": 0.
|
46 |
},
|
47 |
"Degree": {
|
48 |
-
"p": 0.
|
49 |
-
"r": 0.
|
50 |
-
"f": 0.
|
51 |
},
|
52 |
"PronType": {
|
53 |
-
"p": 0.
|
54 |
-
"r": 0.
|
55 |
-
"f": 0.
|
56 |
},
|
57 |
"Poss": {
|
58 |
-
"p": 0.
|
59 |
-
"r": 0.
|
60 |
-
"f": 0.
|
61 |
},
|
62 |
"Case": {
|
63 |
-
"p": 0.
|
64 |
-
"r": 0.
|
65 |
-
"f": 0.
|
66 |
},
|
67 |
"Reflex": {
|
68 |
"p": 1.0,
|
@@ -70,19 +65,19 @@
|
|
70 |
"f": 1.0
|
71 |
},
|
72 |
"NumType": {
|
73 |
-
"p": 0.
|
74 |
-
"r": 0.
|
75 |
-
"f": 0.
|
76 |
},
|
77 |
"Polarity": {
|
78 |
-
"p": 0
|
79 |
"r": 1.0,
|
80 |
-
"f": 0
|
81 |
},
|
82 |
"Person": {
|
83 |
-
"p": 0.
|
84 |
-
"r": 0.
|
85 |
-
"f": 0.
|
86 |
},
|
87 |
"Animacy": {
|
88 |
"p": 0.9982949702,
|
@@ -90,243 +85,259 @@
|
|
90 |
"f": 0.9978696208
|
91 |
},
|
92 |
"Voice": {
|
93 |
-
"p": 0.
|
94 |
-
"r": 0.
|
95 |
-
"f": 0.
|
96 |
},
|
97 |
"Abbr": {
|
98 |
-
"p": 0.
|
99 |
-
"r": 0.
|
100 |
-
"f": 0.
|
101 |
}
|
102 |
},
|
|
|
|
|
|
|
|
|
|
|
103 |
"dep_las_per_type": {
|
104 |
"nmod": {
|
105 |
-
"p": 0.
|
106 |
-
"r": 0.
|
107 |
-
"f": 0.
|
108 |
},
|
109 |
"nsubj": {
|
110 |
-
"p": 0.
|
111 |
-
"r": 0.
|
112 |
-
"f": 0.
|
113 |
},
|
114 |
"flat:name": {
|
115 |
-
"p": 0.
|
116 |
-
"r": 0.
|
117 |
-
"f": 0.
|
118 |
},
|
119 |
"root": {
|
120 |
-
"p": 0.
|
121 |
-
"r": 0.
|
122 |
-
"f": 0.
|
123 |
},
|
124 |
"advmod": {
|
125 |
-
"p": 0.
|
126 |
-
"r": 0.
|
127 |
-
"f": 0.
|
128 |
},
|
129 |
"mark": {
|
130 |
-
"p": 0.
|
131 |
-
"r": 0.
|
132 |
-
"f": 0.
|
133 |
},
|
134 |
"advcl": {
|
135 |
-
"p": 0.
|
136 |
-
"r": 0.
|
137 |
-
"f": 0.
|
138 |
},
|
139 |
"obj": {
|
140 |
-
"p": 0.
|
141 |
-
"r": 0.
|
142 |
-
"f": 0.
|
143 |
},
|
144 |
"case": {
|
145 |
-
"p": 0.
|
146 |
-
"r": 0.
|
147 |
-
"f": 0.
|
148 |
},
|
149 |
"det": {
|
150 |
-
"p": 0.
|
151 |
-
"r": 0.
|
152 |
-
"f": 0.
|
153 |
},
|
154 |
"obl": {
|
155 |
-
"p": 0.
|
156 |
-
"r": 0.
|
157 |
-
"f": 0.
|
158 |
},
|
159 |
"aux": {
|
160 |
-
"p": 0.
|
161 |
-
"r": 0.
|
162 |
-
"f": 0.
|
163 |
},
|
164 |
"acl:relcl": {
|
165 |
-
"p": 0.
|
166 |
-
"r": 0.
|
167 |
-
"f": 0.
|
168 |
},
|
169 |
"iobj": {
|
170 |
-
"p": 0.
|
171 |
-
"r": 0.
|
172 |
-
"f": 0.
|
173 |
},
|
174 |
"xcomp": {
|
175 |
-
"p": 0.
|
176 |
-
"r": 0.
|
177 |
-
"f": 0.
|
178 |
},
|
179 |
"cc": {
|
180 |
-
"p": 0.
|
181 |
-
"r": 0.
|
182 |
-
"f": 0.
|
183 |
},
|
184 |
"conj": {
|
185 |
-
"p": 0.
|
186 |
-
"r": 0.
|
187 |
-
"f": 0.
|
188 |
},
|
189 |
"amod": {
|
190 |
-
"p": 0.
|
191 |
-
"r": 0.
|
192 |
-
"f": 0.
|
193 |
},
|
194 |
"nummod": {
|
195 |
-
"p": 0.
|
196 |
-
"r": 0.
|
197 |
-
"f": 0.
|
198 |
},
|
199 |
"compound:prt": {
|
200 |
-
"p": 0.
|
201 |
-
"r": 0.
|
202 |
-
"f": 0.
|
203 |
},
|
204 |
"cop": {
|
205 |
-
"p": 0.
|
206 |
-
"r": 0.
|
207 |
-
"f": 0.
|
208 |
},
|
209 |
"appos": {
|
210 |
-
"p": 0.
|
211 |
-
"r": 0.
|
212 |
-
"f": 0.
|
213 |
},
|
214 |
"ccomp": {
|
215 |
-
"p": 0.
|
216 |
-
"r": 0.
|
217 |
-
"f": 0.
|
|
|
|
|
|
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337 |
"p": 0.0,
|
338 |
"r": 0.0,
|
339 |
"f": 0.0
|
340 |
}
|
341 |
+
},
|
342 |
+
"speed": 9935.8630230533
|
343 |
}
|
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 = "rule"
|
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 = "rule"
|
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
|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"nb",
|
3 |
"name":"core_news_md",
|
4 |
-
"version":"3.
|
5 |
"description":"Norwegian (Bokm\u00e5l) 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 |
"license":"MIT",
|
10 |
-
"spacy_version":">=3.
|
11 |
-
"spacy_git_version":"
|
12 |
"vectors":{
|
13 |
"width":300,
|
14 |
"vectors":20000,
|
@@ -185,6 +185,7 @@
|
|
185 |
"Case=Gen|Definite=Ind|Gender=Fem|Number=Plur|POS=NOUN",
|
186 |
"Gender=Neut|Number=Sing|POS=DET|Polarity=Neg|PronType=Neg",
|
187 |
"Number=Plur|POS=NOUN",
|
|
|
188 |
"Case=Gen|Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ",
|
189 |
"Definite=Ind|Number=Sing|POS=VERB|VerbForm=Part",
|
190 |
"Case=Gen|Definite=Def|Number=Sing|POS=ADJ|VerbForm=Part",
|
@@ -194,7 +195,6 @@
|
|
194 |
"Abbr=Yes|POS=ADJ",
|
195 |
"Case=Gen|Gender=Masc|Number=Sing|POS=DET|PronType=Art",
|
196 |
"Abbr=Yes|Definite=Def,Ind|Gender=Masc|Number=Sing|POS=NOUN",
|
197 |
-
"POS=PRON|PronType=Prs",
|
198 |
"Case=Gen|Gender=Fem|Number=Sing|POS=DET|PronType=Dem",
|
199 |
"Number=Plur|POS=PRON|Poss=Yes|PronType=Rcp",
|
200 |
"Definite=Ind|Degree=Pos|POS=ADJ",
|
@@ -273,10 +273,15 @@
|
|
273 |
|
274 |
],
|
275 |
"ner":[
|
|
|
|
|
|
|
|
|
276 |
"LOC",
|
277 |
"MISC",
|
278 |
"ORG",
|
279 |
-
"PER"
|
|
|
280 |
]
|
281 |
},
|
282 |
"pipeline":[
|
@@ -301,69 +306,64 @@
|
|
301 |
],
|
302 |
"performance":{
|
303 |
"token_acc":0.9990350152,
|
304 |
-
"
|
305 |
-
"
|
306 |
-
"
|
307 |
-
"
|
308 |
-
"
|
309 |
-
"
|
310 |
-
"
|
311 |
-
"
|
312 |
-
"ents_f":0.8426666667,
|
313 |
-
"sents_p":0.9275123558,
|
314 |
-
"sents_r":0.9328914664,
|
315 |
-
"sents_f":0.9301941347,
|
316 |
-
"speed":11023.0847447595,
|
317 |
"morph_per_feat":{
|
318 |
"Definite":{
|
319 |
-
"p":0.
|
320 |
-
"r":0.
|
321 |
-
"f":0.
|
322 |
},
|
323 |
"Gender":{
|
324 |
-
"p":0.
|
325 |
-
"r":0.
|
326 |
-
"f":0.
|
327 |
},
|
328 |
"Number":{
|
329 |
-
"p":0.
|
330 |
-
"r":0.
|
331 |
-
"f":0.
|
332 |
},
|
333 |
"Mood":{
|
334 |
-
"p":0.
|
335 |
-
"r":0.
|
336 |
-
"f":0.
|
337 |
},
|
338 |
"Tense":{
|
339 |
-
"p":0.
|
340 |
-
"r":0.
|
341 |
-
"f":0.
|
342 |
},
|
343 |
"VerbForm":{
|
344 |
-
"p":0.
|
345 |
-
"r":0.
|
346 |
-
"f":0.
|
347 |
},
|
348 |
"Degree":{
|
349 |
-
"p":0.
|
350 |
-
"r":0.
|
351 |
-
"f":0.
|
352 |
},
|
353 |
"PronType":{
|
354 |
-
"p":0.
|
355 |
-
"r":0.
|
356 |
-
"f":0.
|
357 |
},
|
358 |
"Poss":{
|
359 |
-
"p":0.
|
360 |
-
"r":0.
|
361 |
-
"f":0.
|
362 |
},
|
363 |
"Case":{
|
364 |
-
"p":0.
|
365 |
-
"r":0.
|
366 |
-
"f":0.
|
367 |
},
|
368 |
"Reflex":{
|
369 |
"p":1.0,
|
@@ -371,19 +371,19 @@
|
|
371 |
"f":1.0
|
372 |
},
|
373 |
"NumType":{
|
374 |
-
"p":0.
|
375 |
-
"r":0.
|
376 |
-
"f":0.
|
377 |
},
|
378 |
"Polarity":{
|
379 |
-
"p":0
|
380 |
"r":1.0,
|
381 |
-
"f":0
|
382 |
},
|
383 |
"Person":{
|
384 |
-
"p":0.
|
385 |
-
"r":0.
|
386 |
-
"f":0.
|
387 |
},
|
388 |
"Animacy":{
|
389 |
"p":0.9982949702,
|
@@ -391,255 +391,271 @@
|
|
391 |
"f":0.9978696208
|
392 |
},
|
393 |
"Voice":{
|
394 |
-
"p":0.
|
395 |
-
"r":0.
|
396 |
-
"f":0.
|
397 |
},
|
398 |
"Abbr":{
|
399 |
-
"p":0.
|
400 |
-
"r":0.
|
401 |
-
"f":0.
|
402 |
}
|
403 |
},
|
|
|
|
|
|
|
|
|
|
|
404 |
"dep_las_per_type":{
|
405 |
"nmod":{
|
406 |
-
"p":0.
|
407 |
-
"r":0.
|
408 |
-
"f":0.
|
409 |
},
|
410 |
"nsubj":{
|
411 |
-
"p":0.
|
412 |
-
"r":0.
|
413 |
-
"f":0.
|
414 |
},
|
415 |
"flat:name":{
|
416 |
-
"p":0.
|
417 |
-
"r":0.
|
418 |
-
"f":0.
|
419 |
},
|
420 |
"root":{
|
421 |
-
"p":0.
|
422 |
-
"r":0.
|
423 |
-
"f":0.
|
424 |
},
|
425 |
"advmod":{
|
426 |
-
"p":0.
|
427 |
-
"r":0.
|
428 |
-
"f":0.
|
429 |
},
|
430 |
"mark":{
|
431 |
-
"p":0.
|
432 |
-
"r":0.
|
433 |
-
"f":0.
|
434 |
},
|
435 |
"advcl":{
|
436 |
-
"p":0.
|
437 |
-
"r":0.
|
438 |
-
"f":0.
|
439 |
},
|
440 |
"obj":{
|
441 |
-
"p":0.
|
442 |
-
"r":0.
|
443 |
-
"f":0.
|
444 |
},
|
445 |
"case":{
|
446 |
-
"p":0.
|
447 |
-
"r":0.
|
448 |
-
"f":0.
|
449 |
},
|
450 |
"det":{
|
451 |
-
"p":0.
|
452 |
-
"r":0.
|
453 |
-
"f":0.
|
454 |
},
|
455 |
"obl":{
|
456 |
-
"p":0.
|
457 |
-
"r":0.
|
458 |
-
"f":0.
|
459 |
},
|
460 |
"aux":{
|
461 |
-
"p":0.
|
462 |
-
"r":0.
|
463 |
-
"f":0.
|
464 |
},
|
465 |
"acl:relcl":{
|
466 |
-
"p":0.
|
467 |
-
"r":0.
|
468 |
-
"f":0.
|
469 |
},
|
470 |
"iobj":{
|
471 |
-
"p":0.
|
472 |
-
"r":0.
|
473 |
-
"f":0.
|
474 |
},
|
475 |
"xcomp":{
|
476 |
-
"p":0.
|
477 |
-
"r":0.
|
478 |
-
"f":0.
|
479 |
},
|
480 |
"cc":{
|
481 |
-
"p":0.
|
482 |
-
"r":0.
|
483 |
-
"f":0.
|
484 |
},
|
485 |
"conj":{
|
486 |
-
"p":0.
|
487 |
-
"r":0.
|
488 |
-
"f":0.
|
489 |
},
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morphologizer/cfg
CHANGED
@@ -1,4 +1,5 @@
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1 |
{
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@@ -165,6 +166,7 @@
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|
@@ -174,7 +176,6 @@
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|
174 |
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senter/cfg
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senter/model
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vocab/strings.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
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{
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2 |
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"mode":"default"
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}
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