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模型:
spacy/zh_core_web_trf
中文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 |
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 |