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. 2019 Apr 9;19(Suppl 2):65. doi: 10.1186/s12911-019-0762-7

Table 6.

Performance comparison of different algorithms

P R F1
N-gram-Based RNN-CRF [23] 0.5254 0.4056 0.4578
Character-Based LSTM-CRF [11] 0.6568 0.6904 0.6732
Attention-Based CNN-LSTM-CRF [21] 0.7224 0.7248 0.7236
SM-LSTM-CRF 0.8054 0.7961 0.8007