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Table 2 Results for various LSTM-RNNs and word embeddings on the GM and JNLPBA data sets

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

Systems Dim. GM (P/R/F1 score) JNLPBA (P/R/F1 score)
LSTM-RNN    
  +SENNA 50 83.87/80.46/82.13 67.50/72.52/69.92
  +Biomedical 50 85.85/84.09/84.96 70.69/74.80/72.69
  +Google 300 83.90/82.80/83.35 69.19/72.56/70.83
  +Biomedical 300 86.66/85.58/86.12 70.34/74.96/72.58
  +Random 300 83.63/76.56/79.94 66.96/71.46/69.13
BLSTM-RNN    
  +SENNA 50 84.29/79.83/82.00 67.00/71.60/69.22
  +Biomedical 50 88.42/82.63/85.43 71.04/74.45/72.71
  +Google 300 85.02/82.04/83.50 68.59/73.99/71.19
  +Biomedical 300 87.85/85.29/86.55 71.24/76.53/73.79
  +Random 300 82.87/77.65/80.18 68.43/70.98/69.68