github explosion/spacy-models en_core_web_trf-3.2.0

Downloads Downloads (wheel)

Checksum .tar.gz: f2296d93d63c228f7b4df2a29f23f1e9fe291180c7257ed3cb7221c4e4ae30e3
Checksum .whl: c6be2ccfc1c30edb5690f5e2baecf2a0cabd23529c0abb84c67aedcf0dac86a2

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

English transformer pipeline (roberta-base). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.

Feature Description
Name en_core_web_trf
Version 3.2.0
spaCy >=3.2.0,<3.3.0
Default Pipeline transformer, tagger, parser, attribute_ruler, lemmatizer, ner
Components transformer, tagger, parser, attribute_ruler, lemmatizer, ner
Vectors 0 keys, 0 unique vectors (0 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)
roberta-base (Yinhan Liu and Myle Ott and Naman Goyal and Jingfei Du and Mandar Joshi and Danqi Chen and Omer Levy and Mike Lewis and Luke Zettlemoyer and Veselin Stoyanov)
License MIT
Author Explosion
Model size 438 MB

Label Scheme

View label scheme (112 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 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 97.81
SENTS_P 95.69
SENTS_R 86.67
SENTS_F 90.96
DEP_UAS 95.27
DEP_LAS 93.93
ENTS_P 89.87
ENTS_R 89.93
ENTS_F 89.90

Installation

pip install spacy
python -m spacy download en_core_web_trf

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