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Table 3 Effects of fine-tuning word embeddings in LSTM-RNN and BLSTM-RNN

From: Long short-term memory RNN for biomedical named entity recognition

Systems Dim. GM JNLPBA
LSTM-RNN   +tune -tune +tune -tune
  +SENNA 50 85.69 82.13 70.56 69.92
  +Biomedical 50 85.33 84.96 71.78 72.69
  +Google 300 85.65 83.35 71.13 70.83
  +Biomedical 300 84.56 86.12 72.04 72.58
  +Random 300 84.74 79.94 71.10 69.13
BLSTM-RNN   +tune -tune +tune -tune
  +SENNA 50 86.81 82.00 72.09 69.22
  +Biomedical 50 85.24 85.43 72.28 72.71
  +Google 300 86.52 83.50 73.03 71.19
  +Biomedical 300 84.53 86.55 73.44 73.79
  +Random 300 84.94 80.18 71.81 69.68