mjr27/en_egw_entity_extractor

Feature	Description
Name	en_egw_entity_extractor
Version	1.0.0
spaCy	>=3.7.2,<3.8.0
Default Pipeline	transformer, tagger, parser, ner
Components	transformer, tagger, parser, ner
Vectors	514157 keys, 514157 unique vectors (300 dimensions)
Sources	n/a
License	n/a
Author	n/a

Label Scheme

View label scheme (100 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	DATE, GPE, LOC, PERSON, REFERENCE

Accuracy

Type	Score
TAG_ACC	97.31
DEP_UAS	93.84
DEP_LAS	92.26
SENTS_P	95.17
SENTS_R	94.77
SENTS_F	94.97
ENTS_F	89.38
ENTS_P	89.25
ENTS_R	89.52
TRANSFORMER_LOSS	10291319.95
TAGGER_LOSS	1200598.50
PARSER_LOSS	5348475.42
NER_LOSS	297327.96