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Feature Description
Name en_engagement_LSTM_f4
Version 1.0.0
spaCy >=3.4.4,<3.5.0
Default Pipeline transformer, parser, tagger, ner, attribute_ruler, lemmatizer, trainable_transformer, spancat
Components transformer, parser, tagger, ner, attribute_ruler, lemmatizer, trainable_transformer, spancat
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (122 labels for 4 components)
Component Labels
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
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, ````
ner CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART
spancat MONOGLOSS, ATTRIBUTION, ENTERTAIN, PROCLAIM, JUSTIFYING, SOURCES, CITATION, COUNTER, DENY, ENDOPHORIC

Accuracy

Type Score
DEP_UAS 0.00
DEP_LAS 0.00
DEP_LAS_PER_TYPE 0.00
SENTS_P 80.73
SENTS_R 88.57
SENTS_F 84.47
TAG_ACC 0.00
ENTS_F 0.00
ENTS_P 0.00
ENTS_R 0.00
LEMMA_ACC 0.00
SPANS_SC_F 73.19
SPANS_SC_P 76.43
SPANS_SC_R 70.21
TRAINABLE_TRANSFORMER_LOSS 6245.06
SPANCAT_LOSS 211548.91
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Evaluation results