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README.md
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---
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license: gpl-3.0
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---
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---
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tags:
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- spacy
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- token-classification
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language:
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- pl
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license: gpl-3.0
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model-index:
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- name: pl_nask
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results:
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- task:
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name: NER
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type: token-classification
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metrics:
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- name: NER Precision
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type: precision
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value: 0.9092043682
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- name: NER Recall
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type: recall
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value: 0.9072229141
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- name: NER F Score
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type: f_score
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value: 0.9082125604
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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: 0.9626419163,
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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: 0.9290706682
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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: 0.8765904858
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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: 0.9918545179
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---
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### Details: https://github.com/ipipan/spacy-pl-trf
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Polish transformer pipeline (herbert-base-cased). Components: transformer, tagger, parser, ner, morfeusz.
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| Feature | Description |
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| --- | --- |
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| **Name** | `pl_nask` |
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| **Version** | `0.0.7` |
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| **spaCy** | `>=3.5.0,<3.6.0` |
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| **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `ner`, `morfeusz` |
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| **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `ner`, `morfeusz` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [Morfeusz2](http://morfeusz.sgjp.pl/en) 2-clauseBSD License<br /> [NKJP1M](http://nkjp.pl/) CC-BY<br /> [NKJP1MUD](http://git.nlp.ipipan.waw.pl/alina/PDBUD/tree/master) GNU GPL v.3<br /> [Herbert-base-cased](https://huggingface.co/allegro/herbert-base-cased) CC-BY<br /> [PDB](http://zil.ipipan.waw.pl/PDB) CC BY-NC-SA 4.0<br /> |
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| **License** | `GNU GPL 3.0` |
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| **Author** | [Ryszard Tuora ICS PAS](http://zil.ipipan.waw.pl/) |
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### Label Scheme
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<details>
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<summary>View label scheme</summary>
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| Component | Labels |
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| --- | --- |
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| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advcl:cmpr`, `advcl:relcl`, `advmod`, `advmod:arg`, `advmod:emph`, `advmod:neg`, `amod`, `amod:flat`, `appos`, `aux`, `aux:cnd`, `aux:imp`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:cleft`, `ccomp:obj`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:numgov`, `det:nummod`, `det:poss`, `discourse:intj`, `expl:pv`, `fixed`, `flat`, `flat:foreign`, `iobj`, `list`, `mark`, `nmod`, `nmod:arg`, `nmod:flat`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `nummod:flat`, `nummod:gov`, `obj`, `obl`, `obl:agent`, `obl:arg`, `obl:cmpr`, `obl:orphan`, `orphan`, `parataxis:insert`, `parataxis:obj`, `punct`, `vocative`, `xcomp`, `xcomp:cleft`, `xcomp:pred`, `xcomp:subj` |
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| **`ner`** | `DATE`, `GEOGNAME`, `ORGNAME`, `PERSNAME`, `PLACENAME`, `TIME` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 96.26 |
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| `POS_ACC` | 98.18 |
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| `MORPH_ACC` | 96.61 |
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| `SENTS_P` | 99.13 |
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| `SENTS_R` | 99.24 |
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| `SENTS_F` | 99.19 |
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| `DEP_UAS` | 92.91 |
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| `DEP_LAS` | 87.66 |
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| `ENTS_P` | 90.92 |
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| `ENTS_R` | 90.72 |
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| `ENTS_F` | 90.82 |
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