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
Downloads last month
8
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results