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Table 5 The effect of our baseline components on our development sets

From: A neural network approach to chemical and gene/protein entity recognition in patents

Model CEMP Dev GPRO Dev
Precision Recall F-score Precision Recall F-score
Baseline 87.58 92.50 89.97 67.97 86.06 75.95
− Character embedding 86.27 90.98 88.56 − 1.41 66.67 83.69 74.22 − 1.73
− Capitalization feature 87.99 91.42 89.67 − 0.30 68.07 84.94 75.58 − 0.37
− CRF layer 84.84 88.55 86.66 − 3.31 62.81 79.41 70.14 − 5.81
− Post-processing 87.30 92.28 89.72 − 0.25 68.04 85.61 75.82 − 0.13
  1. Italic values denote the highest values