github explosion/spacy-models en_core_web_lg-3.0.0

Downloads Downloads (wheel)

Details: https://spacy.io/models/en#en_core_web_lg

Checksum .tar.gz: 1eb1fafcde97778bc3c13f9da712e37d789f5d1bc2f3314968222cb77f41ab69
Checksum .whl: ad2cd3ed1c0403a89cafcf0ea0ec1e2e05182f7073c0c931b02fe789e44a19b0

English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.

Feature Description
Name en_core_web_lg
Version 3.0.0
spaCy >=3.0.0,<3.1.0
Model size 742 MB
Default Pipeline tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer
Components tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer
Vectors 684830 keys, 684830 unique vectors (300 dimensions)
Sources OntoNotes 5
License MIT
Author Explosion

Label Scheme

View label scheme (114 labels for 4 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
senter I, S
ner CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART

Accuracy

Type Score
TOKEN_ACC 99.93
TAG_ACC 97.40
DEP_UAS 91.98
DEP_LAS 90.19
ENTS_P 85.91
ENTS_R 85.17
ENTS_F 85.54
SENTS_P 90.15
SENTS_R 87.87
SENTS_F 89.00

Installation

pip install spacy
python -m spacy download en_core_web_lg

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