Research Article
Recognition of Disease Genetic Information from Unstructured Text Data Based on BiLSTM-CRF for Molecular Mechanisms
Table 2
Comparisons between previous works and our approach.
| Approach | P (%) | R (%) | F-score (%) |
| Zhou et al. [41] | 75.99 | 69.42 | 72.55 | Liao and Wu [42] | 72.80 | 73.60 | 73.20 | Tang et al. [43] | 70.78 | 72.00 | 71.39 | Yao et al. [44] | 76.13 | 66.54 | 71.01 | Li et al. [45] | 74.77 | 70.85 | 72.76 | Li and Guo [46] | 79.58 | 69.86 | 74.40 | Our approach | 79.04 | 74.72 | 76.81 |
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