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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.