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模型:
spacy/en_core_web_lg
英文详细信息: https://spacy.io/models/en#en_core_web_lg
英文流程针对 CPU 进行了优化。组件: tok2vec、tagger、parser、senter、ner、attribute_ruler、lemmatizer。
| Feature | Description |
|---|---|
| Name | en_core_web_lg |
| Version | 3.6.0 |
| spaCy | >=3.6.0,<3.7.0 |
| Default Pipeline | tok2vec , tagger , parser , attribute_ruler , lemmatizer , ner |
| Components | tok2vec , tagger , parser , senter , attribute_ruler , lemmatizer , ner |
| Vectors | 514157 keys, 514157 unique vectors (300 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 (Explosion) |
| License | MIT |
| Author | 1236321 |
标签方案
查看标签方案 (3 个组件的 113 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 , _SP , ```` |
| 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 |
准确性
| Type | Score |
|---|---|
| TOKEN_ACC | 99.86 |
| TOKEN_P | 99.57 |
| TOKEN_R | 99.58 |
| TOKEN_F | 99.57 |
| TAG_ACC | 97.35 |
| SENTS_P | 92.19 |
| SENTS_R | 89.27 |
| SENTS_F | 90.71 |
| DEP_UAS | 92.08 |
| DEP_LAS | 90.27 |
| ENTS_P | 85.16 |
| ENTS_R | 85.70 |
| ENTS_F | 85.43 |