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Table 4 The performance of CRF-based and SSVM-based CEM systems when different types of WR features were used.

From: A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature

Feature

CRF

SSVM

 

Precision

Recall

F-measure

Precision

Recall

F-measure

Baseline

89.91

79.77

84.54

88.95

81.32

84.96

Baseline + BC

90.01

80.50

84.99

89.04

81.51

85.11

Baseline + RI

89.52

80.60

84.83

88.43

82.03

85.12

Baseline + SKIP

89.86

80.71

85.04

88.88

81.73

85.15

All

89.42

81.08

85.05

88.34

82.27

85.20

  1. * BC, RI and SKIP denote three different types of word representation features: Brown clustering-based, random indexing-based and skip-gram-based word representations respectively.
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Journal of Cheminformatics

ISSN: 1758-2946

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