| 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