github explosion/spacy-models zh_core_web_trf-3.1.0

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Checksum .tar.gz: b623a5b6594aca64c06821185ad15a9dbdcc1708ef6ddf603a3b5e109c4c2a87
Checksum .whl: e54306e18ab65a96dcd13dced77de99741ef9a8475f52d81c5f28fdea5c147eb

Details: https://spacy.io/models/zh#zh_core_web_trf

Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagger, parser, ner, attribute_ruler.

Feature Description
Name zh_core_web_trf
Version 3.1.0
spaCy >=3.1.0,<3.2.0
Default Pipeline transformer, tagger, parser, attribute_ruler, ner
Components transformer, tagger, parser, attribute_ruler, 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)
CoreNLP Universal Dependencies Converter (Stanford NLP Group)
bert-base-chinese (Hugging Face)
License MIT
Author Explosion
Model size 398 MB

Label Scheme

View label scheme (99 labels for 3 components)
Component Labels
tagger AD, AS, BA, CC, CD, CS, DEC, DEG, DER, DEV, DT, ETC, FW, IJ, INF, JJ, LB, LC, M, MSP, NN, NR, NT, OD, ON, P, PN, PU, SB, SP, URL, VA, VC, VE, VV, X
parser ROOT, acl, advcl:loc, advmod, advmod:dvp, advmod:loc, advmod:rcomp, amod, amod:ordmod, appos, aux:asp, aux:ba, aux:modal, aux:prtmod, auxpass, case, cc, ccomp, compound:nn, compound:vc, conj, cop, dep, det, discourse, dobj, etc, mark, mark:clf, name, neg, nmod, nmod:assmod, nmod:poss, nmod:prep, nmod:range, nmod:tmod, nmod:topic, nsubj, nsubj:xsubj, nsubjpass, nummod, parataxis:prnmod, punct, 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 97.88
TAG_ACC 92.44
DEP_UAS 76.62
DEP_LAS 72.80
ENTS_P 67.45
ENTS_R 74.14
ENTS_F 70.64
SENTS_P 69.18
SENTS_R 65.54
SENTS_F 67.31

Installation

pip install spacy
python -m spacy download zh_core_web_trf

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