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Table 4 BioCreative II gene mention evaluation results of different runs with varied features.

From: Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations

 

Testing set

Features

Pre

Rec

F-scr

Baseline + Brown 300

86.49

83.79

85.12

Baseline

86.88

84.09

85.47

Baseline + Brown 1000

86.82

84.27

85.53

Baseline + Brown 1000 + WVC 500 + WVC 300

87.09

84.98

86.02

Baseline + Brown 1000 + WVC 300

87.95

84.27

86.07

Baseline + Brown 1000 + WVC 500 + WVC 1000

87.92

85.49

86.69

Baseline + Brown 1000 + WVC 1000

88.13

85.58

86.84

Baseline + Brown 1000 + WVC 500

88.02

86.09

87.04

  1. Feature groups are separated by (+). The parameters followed Brown and WVC are the number of classes induced in each model. Pre: Precision, Rec: Recall, F-scr: F-score.
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Journal of Cheminformatics

ISSN: 1758-2946

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