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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
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Evaluation results