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Table 7 Results of training using different LSTM implementations

From: Chemlistem: chemical named entity recognition using recurrent neural networks

System

Official test

Internal evaluation

F score (%)

Precision (%)

Recall (%)

F score (%)

Precision (%)

Recall (%)

1: Traditional

89.04

89.57

88.52

86.75

86.03

87.49

4: Traditional with custom embeddings

89.19

90.05

87.93

86.91

87.10

86.72

7: As 1, with default LSTM, and recurrent dropout

89.11

89.23

88.98

86.93

85.86

88.01

8: As 4, with default LSTM, and recurrent dropout

89.26

89.19

89.34

86.96

85.86

88.09

  1. Entries in italics are the best results in that column