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 |
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Evaluation results
- NER Precisionself-reported0.893
- NER Recallself-reported0.895
- NER F Scoreself-reported0.894
- TAG (XPOS) Accuracyself-reported0.973
- Unlabeled Attachment Score (UAS)self-reported0.938
- Labeled Attachment Score (LAS)self-reported0.923
- Sentences F-Scoreself-reported0.950