Table 8 Comparisons with the related works
From: Chemical-induced disease relation extraction via attention-based distant supervision
Methods | Systems | Description | P(%) | R(%) | F1(%) |
|---|---|---|---|---|---|
Distant Supervision | Ours | Intra_Attention | 62.2 | 59.5 | 60.8 |
Intra_Attention + Stacked_Autoencoder | 60.3 | 73.8 | 66.4 | ||
ML without KB | Gu et al. 2016 [17] | Intra_ME | 60.4 | 50.3 | 54.9 |
Intra_ME + Inter_ME | 62.0 | 55.1 | 58.3 | ||
Gu et al. 2017 [23] | CNN | 59.7 | 55.0 | 57.2 | |
CNN + Inter_ME + PP | 55.7 | 68.1 | 61.3 | ||
Zhou et al. 2016 [22] | LSTM + SVM | 64.9 | 49.3 | 56.0 | |
LSTM + SVM + PP | 55.6 | 68.4 | 61.3 | ||
ML with KB | Ours | Intra_Attention + Stacked_Autoencoder + KBs | 67.9 | 77.0 | 72.1 |
Xu et al. 2016 [19] | SVM + KBs | 65.8 | 68.6 | 67.2 | |
Pons et al. 2016 [20] | SVM + KBs | 73.1 | 67.6 | 70.2 | |
Peng et al. 2016 [21] | Extra training data + SVM + KBs | 71.1 | 72.6 | 71.8 | |
Rule-based | Lowe et al. 2016 [49] | Heuristic rules | 59.3 | 62.3 | 60.8 |