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Table 4 Performance comparisons on NCBI and CDR corpora

From: Disease named entity recognition from biomedical literature using a novel convolutional neural network

Corpus Method P R F
NCBI BANNER [4] 83.80 80.00 81.80
Bi-LSTM + WE [14] 84.87 74.11 79.13
MCNN 85.08 85.26 85.17
MCNN* 83.74 83.03 83.39
CDR HITSZ_CDR [5] 88.68 85.23 86.93
Lee et al.’s [6] 87.34 83.75 85.51
CRD-DNER [31] 79.49 73.58 76.42
MCNN 88.20 87.46 87.83
  1. Note. MCNN* is the version of removing the lexicon feature embedding and the post-processing step