README.md

metadata

tags:
  - spacy
  - token-classification
language:
  - pl
license: gpl-3.0
model-index:
  - name: pl_nask
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9092043682
          - name: NER Recall
            type: recall
            value: 0.9072229141
          - name: NER F Score
            type: f_score
            value: 0.9082125604
      - task:
          name: TAG
          type: token-classification
        metrics:
          - name: TAG (XPOS) Accuracy
            type: accuracy
            value: 0.9626419163,
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Attachment Score (UAS)
            type: f_score
            value: 0.9290706682
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Attachment Score (LAS)
            type: f_score
            value: 0.8765904858
      - task:
          name: SENTS
          type: token-classification
        metrics:
          - name: Sentences F-Score
            type: f_score
            value: 0.9918545179

Details: https://github.com/ipipan/spacy-pl-trf

Polish transformer pipeline (herbert-base-cased). Components: transformer, tagger, parser, ner, morfeusz.

Feature	Description
Name	pl_nask
Version	0.0.7
spaCy	>=3.5.0,<3.6.0
Default Pipeline	transformer, tagger, morphologizer, parser, ner, morfeusz
Components	transformer, tagger, morphologizer, parser, ner, morfeusz
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	Morfeusz2 2-clauseBSD License NKJP1M CC-BY NKJP1MUD GNU GPL v.3 Herbert-base-cased CC-BY PDB CC BY-NC-SA 4.0

| License | GNU GPL 3.0 | | Author | Ryszard Tuora ICS PAS |

Label Scheme

View label scheme

Component	Labels
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
ner	DATE, GEOGNAME, ORGNAME, PERSNAME, PLACENAME, TIME

### Accuracy | Type | Score | | --- | --- | | `TAG_ACC` | 96.26 | | `POS_ACC` | 98.18 | | `MORPH_ACC` | 96.61 | | `SENTS_P` | 99.13 | | `SENTS_R` | 99.24 | | `SENTS_F` | 99.19 | | `DEP_UAS` | 92.91 | | `DEP_LAS` | 87.66 | | `ENTS_P` | 90.92 | | `ENTS_R` | 90.72 | | `ENTS_F` | 90.82 |