en_core_web_sm-3.4.0
explosion-bot
released this
11 Jul 14:41
·
424 commits
to master
since this release
Checksum .tar.gz:
e8813936311a536d2ce7df155817674f20e2a3896dd0e875367446049a00e0dd
Checksum .whl:35365d49d389ecb19ba33119dca9ab9ff80b36fbeb063fa5d44008197fead8fa
Details: https://spacy.io/models/en#en_core_web_sm
English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
Feature | Description |
---|---|
Name | en_core_web_sm |
Version | 3.4.0 |
spaCy | >=3.4.0,<3.5.0 |
Default Pipeline | tok2vec , tagger , parser , attribute_ruler , lemmatizer , ner |
Components | tok2vec , tagger , parser , senter , attribute_ruler , lemmatizer , 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) ClearNLP Constituent-to-Dependency Conversion (Emory University) WordNet 3.0 (Princeton University) |
License | MIT |
Author | Explosion |
Model size | 12 MB |
Label Scheme
View label scheme (113 labels for 3 components)
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 |
Accuracy
Type | Score |
---|---|
TOKEN_ACC |
99.93 |
TOKEN_P |
99.57 |
TOKEN_R |
99.58 |
TOKEN_F |
99.57 |
TAG_ACC |
97.26 |
SENTS_P |
91.92 |
SENTS_R |
88.90 |
SENTS_F |
90.39 |
DEP_UAS |
91.66 |
DEP_LAS |
89.78 |
ENTS_P |
85.65 |
ENTS_R |
83.49 |
ENTS_F |
84.56 |
Installation
pip install spacy
python -m spacy download en_core_web_sm