thet-system/en_core_sci_md

Spacy Models for Biomedical Text.

Feature	Description
Name	en_core_sci_md
Version	0.5.0
spaCy	>=3.2.3,<3.3.0
Default Pipeline	tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, scispacy_linker
Components	tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, scispacy_linker
Vectors	4087446 keys, 50000 unique vectors (200 dimensions)
Sources	OntoNotes 5 Common Crawl GENIA 1.0
License	CC BY-SA 3.0
Author	Allen Institute for Artificial Intelligence

Label Scheme

View label scheme (98 labels for 3 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, WDT, WP, WP$, WRB, XX, ````
parser	ROOT, acl, acl:relcl, acomp, advcl, advmod, amod, amod@nmod, appos, attr, aux, auxpass, case, cc, cc:preconj, ccomp, compound, compound:prt, conj, cop, csubj, dative, dep, det, det:predet, dobj, expl, intj, mark, meta, mwe, neg, nmod, nmod:npmod, nmod:poss, nmod:tmod, nsubj, nsubjpass, nummod, parataxis, pcomp, pobj, preconj, predet, prep, punct, quantmod, xcomp
ner	ENTITY

Accuracy

Type	Score
TAG_ACC	0.00
LEMMA_ACC	0.00
DEP_UAS	0.00
DEP_LAS	0.00
DEP_LAS_PER_TYPE	0.00
SENTS_P	0.00
SENTS_R	0.00
SENTS_F	0.00
ENTS_F	69.51
ENTS_P	69.93
ENTS_R	69.09
NER_LOSS	18222557.46