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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