Feature | Description |
---|---|
Name | en_acnl_roberta_pipeline |
Version | 0.0.1 |
spaCy | >=3.1.3,<3.2.0 |
Default Pipeline | transformer , tagger , parser |
Components | transformer , tagger , parser |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | OntoNotes |
License | CC BY-SA 4.0 |
Author | Daniel Vasić |
Label Scheme
View label scheme (87 labels for 2 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 , VERB , WDT , WP , WP$ , WRB , XX , ```` |
parser |
ROOT , acl , acomp , advcl , advmod , amod , appos , aux , auxpass , case , cc , ccomp , compound , conj , dative , dep , det , dobj , intj , mark , meta , neg , nmod , npadvmod , nummod , parataxis , pcomp , pobj , poss , preconj , predet , prep , prt , punct , quantmod , relcl , xcomp |
Accuracy
Type | Score |
---|---|
TAG_ACC |
98.05 |
DEP_UAS |
95.98 |
DEP_LAS |
94.83 |
SENTS_P |
93.80 |
SENTS_R |
95.42 |
SENTS_F |
94.61 |
TRANSFORMER_LOSS |
3784861.59 |
TAGGER_LOSS |
698704.80 |
PARSER_LOSS |
5540167.00 |
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Dataset used to train danielvasic/en_acnl_roberta_pipeline
Evaluation results
- POS Accuracyself-reported0.981
- SENTER Precisionself-reported0.938
- SENTER Recallself-reported0.954
- SENTER F Scoreself-reported0.946
- Unlabeled Dependencies Accuracyself-reported0.960
- Labeled Dependencies Accuracyself-reported0.960