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Update spaCy pipeline

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LICENSES_SOURCES CHANGED
@@ -1758,34 +1758,3 @@ Creative Commons may be contacted at creativecommons.org.
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- # spaCy lookups data
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-
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- * Author: Explosion
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- * URL: https://github.com/explosion/spacy-lookups-data
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- * License: MIT
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-
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- ```
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- Copyright 2019-2021 ExplosionAI GmbH
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-
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- Permission is hereby granted, free of charge, to any person obtaining a copy of
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- this software and associated documentation files (the "Software"), to deal in
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- the Software without restriction, including without limitation the rights to
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- use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
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- of the Software, and to permit persons to whom the Software is furnished to do
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- so, subject to the following conditions:
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-
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- The above copyright notice and this permission notice shall be included in all
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- copies or substantial portions of the Software.
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-
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- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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- IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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- FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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- AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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- LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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- SOFTWARE.
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- ```
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-
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-
 
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README.md CHANGED
@@ -14,61 +14,76 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.7446964155
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  - name: NER Recall
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  type: recall
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- value: 0.704011065
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  - name: NER F Score
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  type: f_score
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- value: 0.7237824387
 
 
 
 
 
 
 
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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: 0.9392161567
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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: 0.8339006127
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- - name: SENTER Recall
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- type: recall
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- value: 0.8787661406
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- - name: SENTER F Score
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- type: f_score
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- value: 0.8557457213
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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: 0.8546007605
 
 
 
 
 
 
 
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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: 0.8546007605
 
 
 
 
 
 
 
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  ---
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  ### Details: https://spacy.io/models/nl#nl_core_news_sm
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- Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `nl_core_news_sm` |
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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`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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- | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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- | **Sources** | [UD Dutch LassySmall v2.8](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[Dutch NER Annotations for UD LassySmall](https://nlp.town) (NLP Town)<br />[UD Dutch LassySmall v2.8](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[UD Dutch Alpino v2.8](https://github.com/UniversalDependencies/UD_Dutch-Alpino) (Zeman, Daniel; Žabokrtský, Zdeněk; Bouma, Gosse; van Noord, Gertjan)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion) |
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  | **License** | `CC BY-SA 4.0` |
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  | **Author** | [Explosion](https://explosion.ai) |
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@@ -76,14 +91,13 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
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  <details>
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- <summary>View label scheme (323 labels for 5 components)</summary>
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  | Component | Labels |
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  | --- | --- |
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  | **`morphologizer`** | `POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `POS=VERB\|VerbForm=Part`, `POS=PUNCT`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `POS=NUM`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=SCONJ`, `Definite=Def\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=AUX\|VerbForm=Inf`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=DET`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=CCONJ`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Degree=Cmp\|POS=ADJ`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|POS=DET`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PROPN`, `POS=PRON\|PronType=Ind`, `POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=NOUN`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `Abbr=Yes\|POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Degree=Sup\|POS=ADJ`, `POS=ADJ`, `Number=Sing\|POS=PROPN`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|PronType=Dem`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `POS=INTJ`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Int`, `POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Person=3`, `Case=Gen\|POS=PRON\|Person=2\|PronType=Prs`, `POS=X` |
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  | **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|comp\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|met-s`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|postnom\|comp\|met-s`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|prenom\|sup\|zonder`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|dim\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|dat\|evmo`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|meta`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|mv-n\|dim`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|mv-n`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|dat\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|dat\|prenom\|met-e\|evmo`, `VNW\|aanw\|det\|gen\|prenom\|met-e\|rest3`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|det\|stan\|vrij\|zonder`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|gen\|vol\|3\|ev\|prenom\|met-e\|rest3`, `VNW\|bez\|det\|stan\|nadr\|2v\|mv\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|excl\|pron\|stan\|vol\|3\|getal`, `VNW\|onbep\|adv-pron\|gen\|red\|3\|getal`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|sup`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|comp`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|gen\|vol\|3p\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|gen\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|2\|getal`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|2v\|ev`, `VNW\|pers\|pron\|nomin\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|2v\|ev`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|nadr\|2v\|mv`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|nadr\|1\|ev`, `VNW\|pr\|pron\|obl\|nadr\|2v\|getal`, `VNW\|pr\|pron\|obl\|nadr\|2\|getal`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|pr\|pron\|obl\|vol\|2\|getal`, `VNW\|recip\|pron\|gen\|vol\|persoon\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|vb\|det\|stan\|prenom\|met-e\|rest`, `VNW\|vb\|det\|stan\|prenom\|zonder\|evon`, `VNW\|vb\|pron\|gen\|vol\|3m\|ev`, `VNW\|vb\|pron\|gen\|vol\|3p\|mv`, `VNW\|vb\|pron\|gen\|vol\|3v\|ev`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|prenom\|met-e`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
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  | **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
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- | **`senter`** | `I`, `S` |
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  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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  </details>
@@ -92,22 +106,22 @@ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, pa
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  | Type | Score |
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  | --- | --- |
 
 
 
 
 
 
 
 
 
95
  | `TOKEN_ACC` | 99.97 |
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  | `TOKEN_P` | 99.74 |
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  | `TOKEN_R` | 99.76 |
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  | `TOKEN_F` | 99.75 |
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- | `POS_ACC` | 95.81 |
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- | `MORPH_ACC` | 94.99 |
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- | `MORPH_MICRO_P` | 95.89 |
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- | `MORPH_MICRO_R` | 93.84 |
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- | `MORPH_MICRO_F` | 94.85 |
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- | `TAG_ACC` | 93.92 |
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- | `SENTS_P` | 83.39 |
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- | `SENTS_R` | 87.88 |
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- | `SENTS_F` | 85.57 |
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- | `DEP_UAS` | 85.46 |
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- | `DEP_LAS` | 80.63 |
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- | `LEMMA_ACC` | 81.33 |
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- | `ENTS_P` | 74.47 |
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- | `ENTS_R` | 70.40 |
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- | `ENTS_F` | 72.38 |
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 0.7276011561
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  - name: NER Recall
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  type: recall
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+ value: 0.6964038728
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  - name: NER F Score
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  type: f_score
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+ value: 0.7116607774
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.9401116636
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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+ - name: POS (UPOS) Accuracy
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  type: accuracy
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+ value: 0.9587577152
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  - task:
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+ name: MORPH
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  type: token-classification
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  metrics:
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+ - name: Morph (UFeats) Accuracy
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+ type: accuracy
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+ value: 0.9509870215
 
 
 
 
 
 
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  - task:
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+ name: LEMMA
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  type: token-classification
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  metrics:
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+ - name: Lemma Accuracy
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  type: accuracy
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+ value: 0.9391804959
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+ - task:
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+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Unlabeled Attachment Score (UAS)
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+ type: f_score
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+ value: 0.8541951838
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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+ - name: Labeled Attachment Score (LAS)
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+ type: f_score
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+ value: 0.8044409521
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+ - task:
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+ name: SENTS
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+ type: token-classification
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+ metrics:
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+ - name: Sentences F-Score
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+ type: f_score
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+ value: 0.8678982224
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  ---
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  ### Details: https://spacy.io/models/nl#nl_core_news_sm
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+ Dutch pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner.
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  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `nl_core_news_sm` |
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+ | **Version** | `3.3.0` |
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+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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+ | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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+ | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
86
+ | **Sources** | [UD Dutch LassySmall v2.8](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[Dutch NER Annotations for UD LassySmall](https://nlp.town) (NLP Town)<br />[UD Dutch LassySmall v2.8](https://github.com/UniversalDependencies/UD_Dutch-LassySmall) (Bouma, Gosse; van Noord, Gertjan)<br />[UD Dutch Alpino v2.8](https://github.com/UniversalDependencies/UD_Dutch-Alpino) (Zeman, Daniel; Žabokrtský, Zdeněk; Bouma, Gosse; van Noord, Gertjan) |
87
  | **License** | `CC BY-SA 4.0` |
88
  | **Author** | [Explosion](https://explosion.ai) |
89
 
 
91
 
92
  <details>
93
 
94
+ <summary>View label scheme (321 labels for 4 components)</summary>
95
 
96
  | Component | Labels |
97
  | --- | --- |
98
  | **`morphologizer`** | `POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `POS=VERB\|VerbForm=Part`, `POS=PUNCT`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `POS=NUM`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=SCONJ`, `Definite=Def\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=AUX\|VerbForm=Inf`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=DET`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=CCONJ`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Degree=Cmp\|POS=ADJ`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|POS=DET`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PROPN`, `POS=PRON\|PronType=Ind`, `POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=NOUN`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SYM`, `Abbr=Yes\|POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Degree=Sup\|POS=ADJ`, `POS=ADJ`, `Number=Sing\|POS=PROPN`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|PronType=Dem`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `POS=INTJ`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PRON\|PronType=Int`, `POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Person=3`, `Case=Gen\|POS=PRON\|Person=2\|PronType=Prs`, `POS=X` |
99
  | **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|comp\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|met-s`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|postnom\|comp\|met-s`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|prenom\|sup\|zonder`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|dim\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|dat\|evmo`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|meta`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|mv-n\|dim`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|mv-n`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|dat\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|dat\|prenom\|met-e\|evmo`, `VNW\|aanw\|det\|gen\|prenom\|met-e\|rest3`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|det\|stan\|vrij\|zonder`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|gen\|vol\|3\|ev\|prenom\|met-e\|rest3`, `VNW\|bez\|det\|stan\|nadr\|2v\|mv\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2v\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|nom\|met-e\|zonder-n`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|excl\|pron\|stan\|vol\|3\|getal`, `VNW\|onbep\|adv-pron\|gen\|red\|3\|getal`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|sup`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|comp`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|gen\|vol\|3p\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|gen\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|2\|getal`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|2v\|ev`, `VNW\|pers\|pron\|nomin\|vol\|2\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|red\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|2v\|ev`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|nadr\|2v\|mv`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|nadr\|1\|ev`, `VNW\|pr\|pron\|obl\|nadr\|2v\|getal`, `VNW\|pr\|pron\|obl\|nadr\|2\|getal`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|pr\|pron\|obl\|vol\|2\|getal`, `VNW\|recip\|pron\|gen\|vol\|persoon\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|vb\|det\|stan\|prenom\|met-e\|rest`, `VNW\|vb\|det\|stan\|prenom\|zonder\|evon`, `VNW\|vb\|pron\|gen\|vol\|3m\|ev`, `VNW\|vb\|pron\|gen\|vol\|3p\|mv`, `VNW\|vb\|pron\|gen\|vol\|3v\|ev`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|prenom\|met-e`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
100
  | **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
 
101
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
102
 
103
  </details>
 
106
 
107
  | Type | Score |
108
  | --- | --- |
109
+ | `TAG_ACC` | 94.01 |
110
+ | `SENTS_P` | 84.41 |
111
+ | `SENTS_R` | 89.31 |
112
+ | `SENTS_F` | 86.79 |
113
+ | `DEP_UAS` | 85.42 |
114
+ | `DEP_LAS` | 80.44 |
115
+ | `ENTS_P` | 72.76 |
116
+ | `ENTS_R` | 69.64 |
117
+ | `ENTS_F` | 71.17 |
118
  | `TOKEN_ACC` | 99.97 |
119
  | `TOKEN_P` | 99.74 |
120
  | `TOKEN_R` | 99.76 |
121
  | `TOKEN_F` | 99.75 |
122
+ | `POS_ACC` | 95.88 |
123
+ | `MORPH_ACC` | 95.10 |
124
+ | `MORPH_MICRO_P` | 95.93 |
125
+ | `MORPH_MICRO_R` | 94.00 |
126
+ | `MORPH_MICRO_F` | 94.95 |
127
+ | `LEMMA_ACC` | 93.92 |
 
 
 
 
 
 
 
 
 
accuracy.json CHANGED
@@ -1,353 +1,353 @@
1
  {
2
- "token_acc": 0.9997165842,
3
- "token_p": 0.9974281853,
4
- "token_r": 0.9975586363,
5
- "token_f": 0.9974934066,
6
- "pos_acc": 0.9581243184,
7
- "morph_acc": 0.9498527648,
8
- "morph_micro_p": 0.9588741568,
9
- "morph_micro_r": 0.9384419251,
10
- "morph_micro_f": 0.9485480234,
11
- "morph_per_feat": {
12
- "Person": {
13
- "p": 0.991202346,
14
- "r": 0.9694072658,
15
- "f": 0.9801836636
16
- },
17
- "Poss": {
18
- "p": 0.9923076923,
19
- "r": 0.9885057471,
20
- "f": 0.990403071
21
- },
22
- "PronType": {
23
- "p": 0.9914310197,
24
- "r": 0.961762261,
25
- "f": 0.976371308
26
  },
27
- "Gender": {
28
- "p": 0.9029177719,
29
- "r": 0.8659374205,
30
- "f": 0.8840410336
31
  },
32
- "Number": {
33
- "p": 0.9755422243,
34
- "r": 0.949259093,
35
- "f": 0.9622212107
36
  },
37
- "Tense": {
38
- "p": 0.9620958751,
39
- "r": 0.9488730071,
40
- "f": 0.9554386936
41
  },
42
- "VerbForm": {
43
- "p": 0.9396676301,
44
- "r": 0.9359481828,
45
- "f": 0.9378042185
46
  },
47
- "Degree": {
48
- "p": 0.9345930233,
49
- "r": 0.9238505747,
50
- "f": 0.9291907514
51
  },
52
- "Definite": {
53
- "p": 0.995584989,
54
- "r": 0.9925176056,
55
- "f": 0.994048931
56
  },
57
- "Case": {
58
- "p": 0.9960159363,
59
- "r": 0.9960159363,
60
- "f": 0.9960159363
61
  },
62
- "Reflex": {
63
- "p": 1.0,
64
- "r": 1.0,
65
- "f": 1.0
66
  },
67
- "Abbr": {
68
- "p": 0.9,
69
- "r": 0.5,
70
- "f": 0.6428571429
71
- }
72
- },
73
- "tag_acc": 0.9392161567,
74
- "sents_p": 0.8339006127,
75
- "sents_r": 0.8787661406,
76
- "sents_f": 0.8557457213,
77
- "dep_uas": 0.8546007605,
78
- "dep_las": 0.8062660009,
79
- "dep_las_per_type": {
80
- "det": {
81
- "p": 0.8796718323,
82
- "r": 0.9516765286,
83
- "f": 0.9142586452
84
  },
85
- "nsubj": {
86
- "p": 0.7457627119,
87
- "r": 0.7857142857,
88
- "f": 0.7652173913
89
  },
90
- "root": {
91
- "p": 0.7325428195,
92
- "r": 0.8298507463,
93
- "f": 0.77816655
94
  },
95
- "case": {
96
- "p": 0.8851174935,
97
- "r": 0.9373271889,
98
- "f": 0.9104744852
99
  },
100
- "obl": {
101
- "p": 0.7081339713,
102
- "r": 0.7036450079,
103
- "f": 0.7058823529
104
  },
105
- "nmod": {
106
- "p": 0.6162420382,
107
- "r": 0.6753926702,
108
- "f": 0.6444629475
109
  },
110
- "advmod": {
111
- "p": 0.6918604651,
112
- "r": 0.7212121212,
113
- "f": 0.706231454
114
  },
115
- "obj": {
116
- "p": 0.717472119,
117
- "r": 0.7121771218,
118
- "f": 0.7148148148
119
  },
120
- "mark": {
121
- "p": 0.8205128205,
122
- "r": 0.7933884298,
123
- "f": 0.8067226891
124
  },
125
  "advcl": {
126
- "p": 0.52,
127
- "r": 0.4297520661,
128
- "f": 0.4705882353
129
  },
130
- "amod": {
131
- "p": 0.8108581436,
132
- "r": 0.8448905109,
133
- "f": 0.8275245755
134
- },
135
- "acl:relcl": {
136
- "p": 0.6329113924,
137
- "r": 0.6097560976,
138
- "f": 0.6211180124
139
  },
140
- "cop": {
141
- "p": 0.7094594595,
142
- "r": 0.5769230769,
143
- "f": 0.6363636364
144
  },
145
  "cc": {
146
- "p": 0.798013245,
147
- "r": 0.8281786942,
148
- "f": 0.8128161889
149
  },
150
  "conj": {
151
- "p": 0.54784689,
152
- "r": 0.5066371681,
153
- "f": 0.5264367816
154
- },
155
- "fixed": {
156
- "p": 0.7045454545,
157
- "r": 0.2520325203,
158
- "f": 0.371257485
159
  },
160
- "flat": {
161
- "p": 0.7467889908,
162
- "r": 0.6933560477,
163
- "f": 0.7190812721
164
  },
165
- "csubj": {
166
- "p": 0.75,
167
- "r": 0.5,
168
- "f": 0.6
169
  },
170
- "aux": {
171
- "p": 0.7647058824,
172
- "r": 0.7572815534,
173
- "f": 0.7609756098
174
  },
175
- "compound:prt": {
176
- "p": 0.7727272727,
177
- "r": 0.6623376623,
178
- "f": 0.7132867133
179
  },
180
- "nummod": {
181
- "p": 0.5641025641,
182
- "r": 0.602739726,
183
- "f": 0.582781457
184
  },
185
- "acl": {
186
- "p": 0.4375,
187
- "r": 0.3559322034,
188
- "f": 0.3925233645
189
  },
190
  "expl": {
191
- "p": 0.4,
192
- "r": 0.3333333333,
193
- "f": 0.3636363636
194
- },
195
- "appos": {
196
- "p": 0.6092715232,
197
- "r": 0.5317919075,
198
- "f": 0.5679012346
199
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345
  },
346
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- "p": 0.5,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
348
  "r": 1.0,
 
 
 
 
 
349
  "f": 0.6666666667
350
  }
351
  },
352
- "speed": 3273.3086753398
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  }
 
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58
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104
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105
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106
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107
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108
  },
109
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112
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119
  "conj": {
120
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121
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122
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123
  },
124
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125
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144
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147
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  },
149
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150
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154
  "expl": {
155
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156
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157
+ "f": 0.4444444444
 
 
 
 
 
158
  },
159
+ "orphan": {
160
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  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
164
  "iobj": {
165
+ "p": 0.6363636364,
166
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167
+ "f": 0.5090909091
 
 
 
 
 
168
  },
169
  "obl:agent": {
170
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174
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184
  },
185
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+ "ents_r": 0.6964038728,
187
+ "ents_f": 0.7116607774,
 
188
  "ents_per_type": {
 
 
 
 
 
 
 
 
 
 
189
  "ORG": {
190
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  },
194
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195
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  },
199
  "GPE": {
 
 
 
 
 
200
  "p": 0.0,
201
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203
  },
204
+ "DATE": {
205
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209
  "PERSON": {
210
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214
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215
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219
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224
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229
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230
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234
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235
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239
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244
  "QUANTITY": {
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247
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249
  "LOC": {
250
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253
  },
254
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259
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264
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  },
269
  "TIME": {
270
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274
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279
+ },
280
+ "speed": 11232.0463947449,
281
+ "token_acc": 0.9997165842,
282
+ "token_p": 0.9974281853,
283
+ "token_r": 0.9975586363,
284
+ "token_f": 0.9974934066,
285
+ "pos_acc": 0.9587577152,
286
+ "morph_acc": 0.9509870215,
287
+ "morph_micro_p": 0.959250999,
288
+ "morph_micro_r": 0.9399899832,
289
+ "morph_micro_f": 0.949522824,
290
+ "morph_per_feat": {
291
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292
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293
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294
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295
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298
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300
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301
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304
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+ },
306
+ "Gender": {
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309
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316
+ "Tense": {
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318
+ "r": 0.9538207806,
319
+ "f": 0.9582988125
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+ },
321
+ "VerbForm": {
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325
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331
+ "Definite": {
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333
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+ },
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339
+ "f": 0.9970089731
340
+ },
341
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342
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343
  "r": 1.0,
344
+ "f": 0.9915966387
345
+ },
346
+ "Abbr": {
347
+ "p": 1.0,
348
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349
  "f": 0.6666666667
350
  }
351
  },
352
+ "lemma_acc": 0.9391804959
353
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -10,7 +10,7 @@ seed = 0
10
 
11
  [nlp]
12
  lang = "nl"
13
- pipeline = ["tok2vec","morphologizer","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
@@ -26,11 +26,22 @@ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
  validate = false
27
 
28
  [components.lemmatizer]
29
- factory = "lemmatizer"
30
- mode = "rule"
31
- model = null
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 
 
 
 
 
 
 
 
 
 
 
34
 
35
  [components.morphologizer]
36
  factory = "morphologizer"
@@ -39,8 +50,9 @@ overwrite = true
39
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
40
 
41
  [components.morphologizer.model]
42
- @architectures = "spacy.Tagger.v1"
43
  nO = null
 
44
 
45
  [components.morphologizer.model.tok2vec]
46
  @architectures = "spacy.Tok2VecListener.v1"
@@ -70,7 +82,7 @@ nO = null
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 = false
75
 
76
  [components.ner.model.tok2vec.encode]
@@ -108,8 +120,9 @@ overwrite = false
108
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
109
 
110
  [components.senter.model]
111
- @architectures = "spacy.Tagger.v1"
112
  nO = null
 
113
 
114
  [components.senter.model.tok2vec]
115
  @architectures = "spacy.Tok2Vec.v2"
@@ -130,12 +143,14 @@ maxout_pieces = 2
130
 
131
  [components.tagger]
132
  factory = "tagger"
 
133
  overwrite = false
134
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
135
 
136
  [components.tagger.model]
137
- @architectures = "spacy.Tagger.v1"
138
  nO = null
 
139
 
140
  [components.tagger.model.tok2vec]
141
  @architectures = "spacy.Tok2VecListener.v1"
@@ -152,7 +167,7 @@ factory = "tok2vec"
152
  @architectures = "spacy.MultiHashEmbed.v2"
153
  width = ${components.tok2vec.model.encode:width}
154
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
155
- rows = [5000,2500,2500,2500,100]
156
  include_static_vectors = false
157
 
158
  [components.tok2vec.model.encode]
@@ -189,7 +204,7 @@ dropout = 0.1
189
  accumulate_gradient = 1
190
  patience = 5000
191
  max_epochs = 0
192
- max_steps = 0
193
  eval_frequency = 1000
194
  frozen_components = []
195
  before_to_disk = null
@@ -224,18 +239,18 @@ eps = 0.00000001
224
  learn_rate = 0.001
225
 
226
  [training.score_weights]
227
- pos_acc = 0.06
228
- morph_acc = 0.05
229
  morph_per_feat = null
230
- tag_acc = 0.06
231
  dep_uas = 0.0
232
- dep_las = 0.16
233
  dep_las_per_type = null
234
  sents_p = null
235
  sents_r = null
236
- sents_f = 0.02
237
- lemma_acc = 0.5
238
- ents_f = 0.16
239
  ents_p = 0.0
240
  ents_r = 0.0
241
  ents_per_type = null
@@ -252,6 +267,13 @@ after_init = null
252
 
253
  [initialize.components]
254
 
 
 
 
 
 
 
 
255
  [initialize.components.morphologizer]
256
 
257
  [initialize.components.morphologizer.labels]
 
10
 
11
  [nlp]
12
  lang = "nl"
13
+ pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","senter","attribute_ruler","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
 
26
  validate = false
27
 
28
  [components.lemmatizer]
29
+ factory = "trainable_lemmatizer"
30
+ backoff = "orth"
31
+ min_tree_freq = 3
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
34
+ top_k = 1
35
+
36
+ [components.lemmatizer.model]
37
+ @architectures = "spacy.Tagger.v2"
38
+ nO = null
39
+ normalize = false
40
+
41
+ [components.lemmatizer.model.tok2vec]
42
+ @architectures = "spacy.Tok2VecListener.v1"
43
+ width = ${components.tok2vec.model.encode:width}
44
+ upstream = "tok2vec"
45
 
46
  [components.morphologizer]
47
  factory = "morphologizer"
 
50
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
51
 
52
  [components.morphologizer.model]
53
+ @architectures = "spacy.Tagger.v2"
54
  nO = null
55
+ normalize = false
56
 
57
  [components.morphologizer.model.tok2vec]
58
  @architectures = "spacy.Tok2VecListener.v1"
 
82
  @architectures = "spacy.MultiHashEmbed.v2"
83
  width = 96
84
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
85
+ rows = [5000,1000,2500,2500,50]
86
  include_static_vectors = false
87
 
88
  [components.ner.model.tok2vec.encode]
 
120
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
121
 
122
  [components.senter.model]
123
+ @architectures = "spacy.Tagger.v2"
124
  nO = null
125
+ normalize = false
126
 
127
  [components.senter.model.tok2vec]
128
  @architectures = "spacy.Tok2Vec.v2"
 
143
 
144
  [components.tagger]
145
  factory = "tagger"
146
+ neg_prefix = "!"
147
  overwrite = false
148
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
149
 
150
  [components.tagger.model]
151
+ @architectures = "spacy.Tagger.v2"
152
  nO = null
153
+ normalize = false
154
 
155
  [components.tagger.model.tok2vec]
156
  @architectures = "spacy.Tok2VecListener.v1"
 
167
  @architectures = "spacy.MultiHashEmbed.v2"
168
  width = ${components.tok2vec.model.encode:width}
169
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
170
+ rows = [5000,1000,2500,2500,50]
171
  include_static_vectors = false
172
 
173
  [components.tok2vec.model.encode]
 
204
  accumulate_gradient = 1
205
  patience = 5000
206
  max_epochs = 0
207
+ max_steps = 100000
208
  eval_frequency = 1000
209
  frozen_components = []
210
  before_to_disk = null
 
239
  learn_rate = 0.001
240
 
241
  [training.score_weights]
242
+ pos_acc = 0.1
243
+ morph_acc = 0.09
244
  morph_per_feat = null
245
+ tag_acc = 0.1
246
  dep_uas = 0.0
247
+ dep_las = 0.29
248
  dep_las_per_type = null
249
  sents_p = null
250
  sents_r = null
251
+ sents_f = 0.04
252
+ lemma_acc = 0.1
253
+ ents_f = 0.29
254
  ents_p = 0.0
255
  ents_r = 0.0
256
  ents_per_type = null
 
267
 
268
  [initialize.components]
269
 
270
+ [initialize.components.lemmatizer]
271
+
272
+ [initialize.components.lemmatizer.labels]
273
+ @readers = "spacy.read_labels.v1"
274
+ path = "corpus/labels/trainable_lemmatizer.json"
275
+ require = false
276
+
277
  [initialize.components.morphologizer]
278
 
279
  [initialize.components.morphologizer.labels]
lemmatizer/cfg ADDED
@@ -0,0 +1,1198 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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