en_pipeline / README.md
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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_pipeline
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9946896173
          - name: NER Recall
            type: recall
            value: 0.9916932907
          - name: NER F Score
            type: f_score
            value: 0.9931891941
      - task:
          name: POS
          type: token-classification
        metrics:
          - name: POS Accuracy
            type: accuracy
            value: 0
      - task:
          name: SENTER
          type: token-classification
        metrics:
          - name: SENTER Precision
            type: precision
            value: 1
          - name: SENTER Recall
            type: recall
            value: 1
          - name: SENTER F Score
            type: f_score
            value: 1
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Dependencies Accuracy
            type: accuracy
            value: 0
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Dependencies Accuracy
            type: accuracy
            value: 0
Feature Description
Name en_pipeline
Version 0.0.0
spaCy >=3.1.0,<3.2.0
Default Pipeline tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer
Components tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (114 labels for 3 components)
Component Labels
tagger $, '', ,, -LRB-, -RRB-, ., :, ADD, AFX, CC, CD, DT, EX, FW, HYPH, IN, JJ, JJR, JJS, LS, MD, NFP, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP$, RB, RBR, RBS, RP, SYM, TO, UH, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WP$, WRB, XX, ````
parser ROOT, acl, acomp, advcl, advmod, agent, amod, appos, attr, aux, auxpass, case, cc, ccomp, compound, conj, csubj, csubjpass, dative, dep, det, dobj, expl, intj, mark, meta, neg, nmod, npadvmod, nsubj, nsubjpass, nummod, oprd, parataxis, pcomp, pobj, poss, preconj, predet, prep, prt, punct, quantmod, relcl, xcomp
ner ARC, AST, BOOK, CAUSAL, COMPARISON, DATE, HEM, HOUR, HYPO, INSTRUMENT, JUDGEMENT, LAWS, MODEL, NAME, Observation, PAR, PLACE, QUANTITY, REASON, ZOD

Accuracy

Type Score
TAG_ACC 0.00
DEP_UAS 0.00
DEP_LAS 0.00
DEP_LAS_PER_TYPE 0.00
SENTS_P 100.00
SENTS_R 100.00
SENTS_F 100.00
ENTS_F 99.32
ENTS_P 99.47
ENTS_R 99.17
LEMMA_ACC 0.00
NER_LOSS 7790.09