Table 4.
The effectiveness of the integrated attention mechanisms according to mean F1 scores for 30 different random seeds
Model | PE | F1 score | ||||
---|---|---|---|---|---|---|
Fulls | SDPs | Mean | SD | Min | Max | |
BLSTM | CNN | ✗ | 45.96 | 2.87 | 42.09 | 52.19 |
BLSTM | CNN | ✓ | 48.49 | 4.76 | 38.75 | 55.40 |
BLSTM-Attn | CNN | ✓ | 49.02 | 3.62 | 42.03 | 56.51 |
BLSTM-EAttn | CNN | ✓ | 50.24 | 3.72 | 43.14 | 55.72 |
BLSTM-EAttn | MAttn | ✓ | 53.42 | 2.51 | 46.67 | 56.70 |
All of the highest scores are highlighted in bold except for the SD. The first-row results derive from the best results of previous experiments (i.e., the last row in Table 3). Note: “PE” denotes positional encoding, “Attn” denotes the use of only Additive attention, “EAttn” denotes the use of both Additive and Entity-Oriented attentions, and “MAttn” denotes the use of Multi-Head attention