| 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