github explosion/spacy-models en_core_web_trf-3.0.0a0

pre-release4 years ago

Downloads

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

File checksum: 21cb237d11a10655264975e94afb265b6d2dfad2d6a81a52d339b4dc51ee99b2

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

Feature Description
Name en_core_web_trf
Version 3.0.0a0
spaCy >=3.0.0a40,<3.1.0
Model size 438 MB
Default Pipeline transformer, tagger, parser, ner, attribute_ruler, lemmatizer
Components transformer, tagger, parser, ner, attribute_ruler, lemmatizer
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources OntoNotes 5
License MIT
Author Explosion

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
TOK 99.97
TAG 97.77
POS 0.00
MORPH 0.00
LEMMA 0.00
UAS 95.01
LAS 93.60
NER_P 89.53
NER_R 89.28
NER_F 89.41
SENT_P 94.11
SENT_R 84.94
SENT_F 89.29

Installation

pip install spacy-nightly --pre
python -m spacy download en_core_web_trf

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