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模型:
spacy/en_core_web_trf
英文详情: https://spacy.io/models/en#en_core_web_trf
英语转换器流水线 (roberta-base)。组件: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.
| Feature | Description |
|---|---|
| Name | en_core_web_trf |
| Version | 3.6.1 |
| spaCy | >=3.6.0,<3.7.0 |
| 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 | 1232321 (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) 1233321 (Emory University) 1234321 (Princeton University) 1235321 (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 | 1236321 |
标签方案
查看标签方案 (3个组件的112个标签)| 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 |
准确率
| Type | Score |
|---|---|
| TOKEN_ACC | 99.86 |
| TOKEN_P | 99.57 |
| TOKEN_R | 99.58 |
| TOKEN_F | 99.57 |
| TAG_ACC | 97.80 |
| SENTS_P | 94.92 |
| SENTS_R | 85.14 |
| SENTS_F | 89.76 |
| DEP_UAS | 95.14 |
| DEP_LAS | 93.79 |
| ENTS_P | 89.98 |
| ENTS_R | 89.81 |
| ENTS_F | 89.90 |