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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