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Table 4 F-measure of different models on CCKS data

From: Improving clinical named entity recognition in Chinese using the graphical and phonetic feature

Model

JWE

cw2vec

R+C

R+P

R+F

R+C(Sum)

R+P(Sum)

R+F(Sum)

BOD

0.614

0.595

0.666

0.688

0.661

0.660

0.678

0.652

SYM

0.716

0.682

0.724

0.746

0.735

0.725

0.734

0.727

DIS

0.623

0.528

0.677

0.777

0.629

0.666

0.751

0.574

EXP

0.706

0.666

0.715

0.720

0.723

0.721

0.710

0.721

TRE

0.516

0.513

0.672

0.618

0.549

0.667

0.616

0.519

ALL

0.669

0.635

0.696

0.712

0.695

0.696

0.702

0.687

  1. The highest F-measure among all models is in bold