github explosion/spacy-models en_core_web_md-3.2.0

Downloads Downloads (wheel)

Checksum .tar.gz: efced3da7aa5f76a1308c9ad48ca95e09480cf5a5c9c26f5d08160c0ff0e00ab
Checksum .whl: 9728ab892904819567e70720a3887b59ded8721f14cc27b3d13273ad2b8ba458

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

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

Feature Description
Name en_core_web_md
Version 3.2.0
spaCy >=3.2.0,<3.3.0
Default Pipeline tok2vec, tagger, parser, attribute_ruler, lemmatizer, ner
Components tok2vec, tagger, parser, senter, attribute_ruler, lemmatizer, ner
Vectors 684830 keys, 20000 unique vectors (300 dimensions)
Sources OntoNotes 5 (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)
ClearNLP Constituent-to-Dependency Conversion (Emory University)
WordNet 3.0 (Princeton University)
GloVe Common Crawl (Jeffrey Pennington, Richard Socher, and Christopher D. Manning)
License MIT
Author Explosion
Model size 43 MB

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
TOKEN_P 99.57
TOKEN_R 99.58
TOKEN_F 99.57
TAG_ACC 97.37
SENTS_P 91.44
SENTS_R 89.18
SENTS_F 90.30
DEP_UAS 91.87
DEP_LAS 90.07
ENTS_P 85.31
ENTS_R 84.48
ENTS_F 84.89

Installation

pip install spacy
python -m spacy download en_core_web_md

Don't miss a new spacy-models release

NewReleases is sending notifications on new releases.