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Update spaCy pipeline
Browse files- LICENSES_SOURCES +0 -96
- README.md +58 -44
- accuracy.json +188 -188
- attribute_ruler/patterns +0 -0
- config.cfg +35 -15
- lemmatizer/cfg +578 -0
- lemmatizer/{lookups/lookups.bin → model} +2 -2
- lemmatizer/trees +0 -0
- meta.json +194 -207
- morphologizer/model +2 -2
- nb_core_news_lg-any-py3-none-any.whl +2 -2
- ner/model +2 -2
- parser/model +1 -1
- parser/moves +1 -1
- senter/model +2 -2
- tok2vec/model +2 -2
- tokenizer +2 -2
- vocab/strings.json +2 -2
LICENSES_SOURCES
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@@ -70,102 +70,6 @@ Affirmer understands and acknowledges that Creative Commons is not a party to th
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# Norsk Ordbank in Norwegian Bokmål
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* Author: CLARINO NB - Språkbanken, Nasjonalbiblioteket, Norway
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* URL: https://www.nb.no/sprakbanken/show?serial=oai%3Anb.no%3Asbr-5&lang=en
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* License: CC BY 4.0
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```
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# Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
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* Author: Explosion
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# Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
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* Author: Explosion
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README.md
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metrics:
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- name: NER Precision
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value: 0.
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- name: NER Recall
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type: recall
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- name: NER F Score
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type: f_score
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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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type: token-classification
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type: accuracy
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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---
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### Details: https://spacy.io/models/nb#nb_core_news_lg
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Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler
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| Feature | Description |
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| --- | --- |
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| **Name** | `nb_core_news_lg` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `
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| **Vectors** | 500000 keys, 500000 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 />[
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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`, `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` |
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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`** | `DRV`, `EVT`, `GPE_LOC`, `GPE_ORG`, `LOC`, `MISC`, `ORG`, `PER`, `PROD` |
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</details>
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@@ -95,18 +109,18 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
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| `TOKEN_P` | 99.71 |
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| `TOKEN_R` | 99.53 |
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| `TOKEN_F` | 99.62 |
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-
| `POS_ACC` | 97.
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| `MORPH_ACC` | 96.
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| `MORPH_MICRO_P` | 97.
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| `MORPH_MICRO_R` | 97.
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| `MORPH_MICRO_F` | 97.
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| `SENTS_P` |
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| `SENTS_R` | 93.
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| `SENTS_F` |
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| `DEP_UAS` | 89.
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| `DEP_LAS` | 86.
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| `
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| `
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| `ENTS_P` |
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| `ENTS_R` | 83.
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-
| `ENTS_F` |
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8456937799
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- name: NER Recall
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type: recall
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value: 0.8376777251
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- name: NER F Score
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type: f_score
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value: 0.8416666667
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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: 0.9739104083
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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: 0.9739104083
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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: 0.9627486637
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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: 0.9732521624
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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: 0.8957617053
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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: 0.8657915299
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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: 0.9364520803
|
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---
|
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### Details: https://spacy.io/models/nb#nb_core_news_lg
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|
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+
Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.
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| Feature | Description |
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| --- | --- |
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| **Name** | `nb_core_news_lg` |
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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`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
|
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| **Vectors** | 500000 keys, 500000 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 />[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 (248 labels for 3 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` |
|
99 |
| **`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` |
|
|
|
100 |
| **`ner`** | `DRV`, `EVT`, `GPE_LOC`, `GPE_ORG`, `LOC`, `MISC`, `ORG`, `PER`, `PROD` |
|
101 |
|
102 |
</details>
|
|
|
109 |
| `TOKEN_P` | 99.71 |
|
110 |
| `TOKEN_R` | 99.53 |
|
111 |
| `TOKEN_F` | 99.62 |
|
112 |
+
| `POS_ACC` | 97.39 |
|
113 |
+
| `MORPH_ACC` | 96.27 |
|
114 |
+
| `MORPH_MICRO_P` | 97.90 |
|
115 |
+
| `MORPH_MICRO_R` | 97.03 |
|
116 |
+
| `MORPH_MICRO_F` | 97.46 |
|
117 |
+
| `SENTS_P` | 93.39 |
|
118 |
+
| `SENTS_R` | 93.90 |
|
119 |
+
| `SENTS_F` | 93.65 |
|
120 |
+
| `DEP_UAS` | 89.58 |
|
121 |
+
| `DEP_LAS` | 86.58 |
|
122 |
+
| `LEMMA_ACC` | 97.33 |
|
123 |
+
| `TAG_ACC` | 97.39 |
|
124 |
+
| `ENTS_P` | 84.57 |
|
125 |
+
| `ENTS_R` | 83.77 |
|
126 |
+
| `ENTS_F` | 84.17 |
|
accuracy.json
CHANGED
@@ -3,71 +3,71 @@
|
|
3 |
"token_p": 0.997080292,
|
4 |
"token_r": 0.9953256895,
|
5 |
"token_f": 0.9962022181,
|
6 |
-
"pos_acc": 0.
|
7 |
-
"morph_acc": 0.
|
8 |
-
"morph_micro_p": 0.
|
9 |
-
"morph_micro_r": 0.
|
10 |
-
"morph_micro_f": 0.
|
11 |
"morph_per_feat": {
|
12 |
"Definite": {
|
13 |
-
"p": 0.
|
14 |
-
"r": 0.
|
15 |
-
"f": 0.
|
16 |
},
|
17 |
"Gender": {
|
18 |
-
"p": 0.
|
19 |
-
"r": 0.
|
20 |
-
"f": 0.
|
21 |
},
|
22 |
"Number": {
|
23 |
-
"p": 0.
|
24 |
-
"r": 0.
|
25 |
-
"f": 0.
|
26 |
},
|
27 |
"Mood": {
|
28 |
-
"p": 0.
|
29 |
-
"r": 0.
|
30 |
-
"f": 0.
|
31 |
},
|
32 |
"Tense": {
|
33 |
-
"p": 0.
|
34 |
"r": 0.9841349786,
|
35 |
-
"f": 0.
|
36 |
},
|
37 |
"VerbForm": {
|
38 |
-
"p": 0.
|
39 |
-
"r": 0.
|
40 |
-
"f": 0.
|
41 |
},
|
42 |
"Degree": {
|
43 |
-
"p": 0.
|
44 |
-
"r": 0.
|
45 |
-
"f": 0.
|
46 |
},
|
47 |
"PronType": {
|
48 |
-
"p": 0.
|
49 |
-
"r": 0.
|
50 |
-
"f": 0.
|
51 |
},
|
52 |
"Poss": {
|
53 |
-
"p": 0.
|
54 |
-
"r": 0.
|
55 |
-
"f": 0.
|
56 |
},
|
57 |
"Case": {
|
58 |
-
"p": 0.
|
59 |
-
"r": 0.
|
60 |
-
"f": 0.
|
61 |
},
|
62 |
"Reflex": {
|
63 |
-
"p": 0
|
64 |
"r": 1.0,
|
65 |
-
"f": 0
|
66 |
},
|
67 |
"NumType": {
|
68 |
-
"p": 0.
|
69 |
"r": 0.9135802469,
|
70 |
-
"f": 0.
|
71 |
},
|
72 |
"Polarity": {
|
73 |
"p": 1.0,
|
@@ -75,9 +75,9 @@
|
|
75 |
"f": 1.0
|
76 |
},
|
77 |
"Person": {
|
78 |
-
"p": 0.
|
79 |
-
"r": 0.
|
80 |
-
"f": 0.
|
81 |
},
|
82 |
"Animacy": {
|
83 |
"p": 0.9982949702,
|
@@ -85,201 +85,201 @@
|
|
85 |
"f": 0.9978696208
|
86 |
},
|
87 |
"Voice": {
|
88 |
-
"p": 0.
|
89 |
-
"r": 0.
|
90 |
-
"f": 0.
|
91 |
},
|
92 |
"Abbr": {
|
93 |
-
"p":
|
94 |
-
"r": 0.
|
95 |
-
"f": 0.
|
96 |
}
|
97 |
},
|
98 |
-
"sents_p": 0.
|
99 |
-
"sents_r": 0.
|
100 |
-
"sents_f": 0.
|
101 |
-
"dep_uas": 0.
|
102 |
-
"dep_las": 0.
|
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.
|
218 |
-
},
|
219 |
-
"acl": {
|
220 |
-
"p": 0.6765957447,
|
221 |
-
"r": 0.6411290323,
|
222 |
-
"f": 0.6583850932
|
223 |
},
|
224 |
"expl": {
|
225 |
-
"p": 0.
|
226 |
-
"r": 0.
|
227 |
-
"f": 0.
|
228 |
},
|
229 |
"csubj": {
|
230 |
-
"p": 0.
|
231 |
-
"r": 0.
|
232 |
-
"f": 0.
|
233 |
},
|
234 |
"nsubj:pass": {
|
235 |
-
"p": 0.
|
236 |
-
"r": 0.
|
237 |
-
"f": 0.
|
238 |
},
|
239 |
"aux:pass": {
|
240 |
-
"p": 0.
|
241 |
-
"r": 0.
|
242 |
-
"f": 0.
|
|
|
|
|
|
|
|
|
|
|
243 |
},
|
244 |
"acl:cleft": {
|
245 |
-
"p": 0.
|
246 |
-
"r": 0.
|
247 |
-
"f": 0.
|
248 |
},
|
249 |
"orphan": {
|
250 |
-
"p": 0.
|
251 |
-
"r": 0.
|
252 |
-
"f": 0.
|
253 |
},
|
254 |
-
"
|
|
|
|
|
|
|
|
|
|
|
255 |
"p": 0.0,
|
256 |
"r": 0.0,
|
257 |
"f": 0.0
|
258 |
},
|
259 |
-
"
|
260 |
"p": 0.0,
|
261 |
"r": 0.0,
|
262 |
"f": 0.0
|
263 |
},
|
264 |
-
"parataxis": {
|
265 |
-
"p": 0.8794326241,
|
266 |
-
"r": 0.6595744681,
|
267 |
-
"f": 0.7537993921
|
268 |
-
},
|
269 |
"compound": {
|
270 |
-
"p": 0.
|
271 |
-
"r": 0.
|
272 |
-
"f": 0.
|
273 |
},
|
274 |
"flat:foreign": {
|
275 |
-
"p": 0.
|
276 |
-
"r": 0.
|
277 |
-
"f": 0.
|
278 |
},
|
279 |
"discourse": {
|
280 |
-
"p": 0.
|
281 |
-
"r": 0.
|
282 |
-
"f": 0.
|
283 |
},
|
284 |
"csubj:pass": {
|
285 |
"p": 0.0,
|
@@ -287,52 +287,52 @@
|
|
287 |
"f": 0.0
|
288 |
}
|
289 |
},
|
290 |
-
"
|
291 |
-
"
|
292 |
-
"ents_p": 0.
|
293 |
-
"ents_r": 0.
|
294 |
-
"ents_f": 0.
|
295 |
"ents_per_type": {
|
296 |
"PER": {
|
297 |
-
"p": 0.
|
298 |
-
"r": 0.
|
299 |
-
"f": 0.
|
300 |
},
|
301 |
"ORG": {
|
302 |
-
"p": 0.
|
303 |
-
"r": 0.
|
304 |
-
"f": 0.
|
305 |
},
|
306 |
"GPE_LOC": {
|
307 |
-
"p": 0.
|
308 |
"r": 0.8648648649,
|
309 |
-
"f": 0.
|
310 |
},
|
311 |
"DRV": {
|
312 |
-
"p": 0.
|
313 |
-
"r": 0.
|
314 |
-
"f": 0.
|
315 |
},
|
316 |
"PROD": {
|
317 |
-
"p": 0.
|
318 |
-
"r": 0.
|
319 |
-
"f": 0.
|
320 |
},
|
321 |
"LOC": {
|
322 |
-
"p": 0.
|
323 |
-
"r": 0.
|
324 |
-
"f": 0.
|
325 |
},
|
326 |
"GPE_ORG": {
|
327 |
-
"p": 0.
|
328 |
-
"r": 0.
|
329 |
-
"f": 0.
|
330 |
},
|
331 |
"EVT": {
|
332 |
-
"p": 0.
|
333 |
"r": 0.4444444444,
|
334 |
-
"f": 0.
|
335 |
}
|
336 |
},
|
337 |
-
"speed":
|
338 |
}
|
|
|
3 |
"token_p": 0.997080292,
|
4 |
"token_r": 0.9953256895,
|
5 |
"token_f": 0.9962022181,
|
6 |
+
"pos_acc": 0.9739104083,
|
7 |
+
"morph_acc": 0.9627486637,
|
8 |
+
"morph_micro_p": 0.9790111863,
|
9 |
+
"morph_micro_r": 0.9702832884,
|
10 |
+
"morph_micro_f": 0.974627698,
|
11 |
"morph_per_feat": {
|
12 |
"Definite": {
|
13 |
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
335 |
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|
336 |
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|
337 |
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"speed": 10941.0233474225
|
338 |
}
|
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 = "nb"
|
13 |
-
pipeline = ["tok2vec","morphologizer","parser","
|
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 = "
|
30 |
-
|
31 |
-
|
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.
|
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,
|
74 |
include_static_vectors = true
|
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.
|
112 |
nO = null
|
|
|
113 |
|
114 |
[components.senter.model.tok2vec]
|
115 |
@architectures = "spacy.Tok2Vec.v2"
|
@@ -138,7 +151,7 @@ factory = "tok2vec"
|
|
138 |
@architectures = "spacy.MultiHashEmbed.v2"
|
139 |
width = ${components.tok2vec.model.encode:width}
|
140 |
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
141 |
-
rows = [5000,
|
142 |
include_static_vectors = true
|
143 |
|
144 |
[components.tok2vec.model.encode]
|
@@ -175,7 +188,7 @@ dropout = 0.1
|
|
175 |
accumulate_gradient = 1
|
176 |
patience = 5000
|
177 |
max_epochs = 0
|
178 |
-
max_steps =
|
179 |
eval_frequency = 1000
|
180 |
frozen_components = []
|
181 |
before_to_disk = null
|
@@ -210,17 +223,17 @@ eps = 0.00000001
|
|
210 |
learn_rate = 0.001
|
211 |
|
212 |
[training.score_weights]
|
213 |
-
pos_acc = 0.
|
214 |
-
morph_acc = 0.
|
215 |
morph_per_feat = null
|
216 |
dep_uas = 0.0
|
217 |
-
dep_las = 0.
|
218 |
dep_las_per_type = null
|
219 |
sents_p = null
|
220 |
sents_r = null
|
221 |
-
sents_f = 0.
|
222 |
-
lemma_acc = 0.
|
223 |
-
ents_f = 0.
|
224 |
ents_p = 0.0
|
225 |
ents_r = 0.0
|
226 |
ents_per_type = null
|
@@ -237,6 +250,13 @@ after_init = null
|
|
237 |
|
238 |
[initialize.components]
|
239 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
240 |
[initialize.components.morphologizer]
|
241 |
|
242 |
[initialize.components.morphologizer.labels]
|
|
|
10 |
|
11 |
[nlp]
|
12 |
lang = "nb"
|
13 |
+
pipeline = ["tok2vec","morphologizer","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 = true
|
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"
|
|
|
151 |
@architectures = "spacy.MultiHashEmbed.v2"
|
152 |
width = ${components.tok2vec.model.encode:width}
|
153 |
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
154 |
+
rows = [5000,1000,2500,2500,50]
|
155 |
include_static_vectors = true
|
156 |
|
157 |
[components.tok2vec.model.encode]
|
|
|
188 |
accumulate_gradient = 1
|
189 |
patience = 5000
|
190 |
max_epochs = 0
|
191 |
+
max_steps = 100000
|
192 |
eval_frequency = 1000
|
193 |
frozen_components = []
|
194 |
before_to_disk = null
|
|
|
223 |
learn_rate = 0.001
|
224 |
|
225 |
[training.score_weights]
|
226 |
+
pos_acc = 0.14
|
227 |
+
morph_acc = 0.14
|
228 |
morph_per_feat = null
|
229 |
dep_uas = 0.0
|
230 |
+
dep_las = 0.29
|
231 |
dep_las_per_type = null
|
232 |
sents_p = null
|
233 |
sents_r = null
|
234 |
+
sents_f = 0.04
|
235 |
+
lemma_acc = 0.1
|
236 |
+
ents_f = 0.29
|
237 |
ents_p = 0.0
|
238 |
ents_r = 0.0
|
239 |
ents_per_type = null
|
|
|
250 |
|
251 |
[initialize.components]
|
252 |
|
253 |
+
[initialize.components.lemmatizer]
|
254 |
+
|
255 |
+
[initialize.components.lemmatizer.labels]
|
256 |
+
@readers = "spacy.read_labels.v1"
|
257 |
+
path = "corpus/labels/trainable_lemmatizer.json"
|
258 |
+
require = false
|
259 |
+
|
260 |
[initialize.components.morphologizer]
|
261 |
|
262 |
[initialize.components.morphologizer.labels]
|
lemmatizer/cfg
ADDED
@@ -0,0 +1,578 @@
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1 |
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{
|
2 |
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"labels":[
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3 |
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|
4 |
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|
5 |
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|
6 |
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578 |
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}
|
lemmatizer/{lookups/lookups.bin → model}
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9d1ff7775673096235404472ad93ba69d41aeefdb9ed0d0bc386b8a310f80c08
|
3 |
+
size 223154
|
lemmatizer/trees
ADDED
Binary file (82.6 kB). View file
|
|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"nb",
|
3 |
"name":"core_news_lg",
|
4 |
-
"version":"3.
|
5 |
-
"description":"Norwegian (Bokm\u00e5l) pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler
|
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":500000,
|
@@ -262,15 +262,8 @@
|
|
262 |
"punct",
|
263 |
"xcomp"
|
264 |
],
|
265 |
-
"senter":[
|
266 |
-
"I",
|
267 |
-
"S"
|
268 |
-
],
|
269 |
"attribute_ruler":[
|
270 |
|
271 |
-
],
|
272 |
-
"lemmatizer":[
|
273 |
-
|
274 |
],
|
275 |
"ner":[
|
276 |
"DRV",
|
@@ -288,17 +281,17 @@
|
|
288 |
"tok2vec",
|
289 |
"morphologizer",
|
290 |
"parser",
|
291 |
-
"attribute_ruler",
|
292 |
"lemmatizer",
|
|
|
293 |
"ner"
|
294 |
],
|
295 |
"components":[
|
296 |
"tok2vec",
|
297 |
"morphologizer",
|
298 |
"parser",
|
|
|
299 |
"senter",
|
300 |
"attribute_ruler",
|
301 |
-
"lemmatizer",
|
302 |
"ner"
|
303 |
],
|
304 |
"disabled":[
|
@@ -309,71 +302,71 @@
|
|
309 |
"token_p":0.997080292,
|
310 |
"token_r":0.9953256895,
|
311 |
"token_f":0.9962022181,
|
312 |
-
"pos_acc":0.
|
313 |
-
"morph_acc":0.
|
314 |
-
"morph_micro_p":0.
|
315 |
-
"morph_micro_r":0.
|
316 |
-
"morph_micro_f":0.
|
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":0.9841349786,
|
341 |
-
"f":0.
|
342 |
},
|
343 |
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|
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":0
|
370 |
"r":1.0,
|
371 |
-
"f":0
|
372 |
},
|
373 |
"NumType":{
|
374 |
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"p":0.
|
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"r":0.9135802469,
|
376 |
-
"f":0.
|
377 |
},
|
378 |
"Polarity":{
|
379 |
"p":1.0,
|
@@ -381,9 +374,9 @@
|
|
381 |
"f":1.0
|
382 |
},
|
383 |
"Person":{
|
384 |
-
"p":0.
|
385 |
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"r":0.
|
386 |
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"f":0.
|
387 |
},
|
388 |
"Animacy":{
|
389 |
"p":0.9982949702,
|
@@ -391,201 +384,201 @@
|
|
391 |
"f":0.9978696208
|
392 |
},
|
393 |
"Voice":{
|
394 |
-
"p":0.
|
395 |
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"r":0.
|
396 |
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"f":0.
|
397 |
},
|
398 |
"Abbr":{
|
399 |
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"p":
|
400 |
-
"r":0.
|
401 |
-
"f":0.
|
402 |
}
|
403 |
},
|
404 |
-
"sents_p":0.
|
405 |
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"sents_r":0.
|
406 |
-
"sents_f":0.
|
407 |
-
"dep_uas":0.
|
408 |
-
"dep_las":0.
|
409 |
"dep_las_per_type":{
|
410 |
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|
411 |
-
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|
412 |
-
"r":0.
|
413 |
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"f":0.
|
414 |
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|
415 |
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|
416 |
-
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|
417 |
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|
418 |
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"f":0.
|
419 |
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|
420 |
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|
421 |
-
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|
422 |
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"r":0.
|
423 |
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"f":0.
|
424 |
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|
425 |
"root":{
|
426 |
-
"p":0.
|
427 |
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"r":0.
|
428 |
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"f":0.
|
429 |
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|
430 |
"advmod":{
|
431 |
-
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|
432 |
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|
433 |
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|
434 |
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|
435 |
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|
436 |
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|
437 |
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|
438 |
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|
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440 |
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|
441 |
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|
442 |
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|
443 |
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|
444 |
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|
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|
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|
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|
448 |
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"f":0.
|
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|
450 |
"case":{
|
451 |
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|
452 |
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"r":0.
|
453 |
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"f":0.
|
454 |
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|
455 |
"det":{
|
456 |
-
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|
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|
458 |
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"f":0.
|
459 |
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|
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|
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|
462 |
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|
463 |
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|
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465 |
"aux":{
|
466 |
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|
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|
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|
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470 |
"acl:relcl":{
|
471 |
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|
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|
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"f":0.
|
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|
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|
479 |
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@@ -593,54 +586,54 @@
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{
|
@@ -655,12 +648,6 @@
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|
655 |
"license":"Public Domain (CC0)",
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656 |
"author":"Language Technology Group (University of Oslo)"
|
657 |
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658 |
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{
|
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660 |
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{
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4 |
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6 |
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7 |
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8 |
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9 |
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10 |
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262 |
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264 |
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268 |
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282 |
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|
284 |
"lemmatizer",
|
285 |
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286 |
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287 |
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288 |
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289 |
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290 |
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291 |
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292 |
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293 |
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294 |
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vocab/strings.json
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