github explosion/spacy-models zh_core_web_trf-3.6.1

Downloads Downloads (wheel)

Checksum .tar.gz: 30360523dc9c489e4bd3d7d1a6212c0ef2443333bdee60a9c2f80403137b86a1
Checksum .whl: 71fcb96195a86c06e8c59e7d487aa0d70e81064c9efbd00c5bfa26dd16d3b617

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 3.6.1
spaCy >=3.6.0,<3.7.0
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 95.85
TOKEN_P 94.58
TOKEN_R 91.36
TOKEN_F 92.94
TAG_ACC 92.48
SENTS_P 72.67
SENTS_R 66.46
SENTS_F 69.43
DEP_UAS 77.03
DEP_LAS 73.27
ENTS_P 75.88
ENTS_R 75.86
ENTS_F 75.87

Installation

pip install spacy
python -m spacy download zh_core_web_trf

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