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