Table 5.
The F1 score performance on simple events, nested events, and all events on the multilevel event extraction corpus.
| Subtask and model | Simple (%) | Nested (%) | All (%) | ||||
| Trigger | |||||||
|
|
CNNa | 79.52 | 78.80 | 78.52 | |||
|
|
RLb+KBsc | N/Ad | N/A | N/A | |||
|
|
DeepEventMine | N/A | 79.12 | N/A | |||
|
|
HANNe | N/A | N/A | N/A | |||
|
|
Our model | 79.96f | 80.05f | 80.18f | |||
| Event | |||||||
|
|
CNN | 61.33 | 54.29 | 58.87 | |||
|
|
RL+KBs | N/A | 58.69 | 60.09 | |||
|
|
DeepEventMine | N/A | 51.73 | 61.87 | |||
|
|
HANN | 77.08f | 45.46 | 59.74 | |||
|
|
Our model | 64.85 | 61.26f | 62.80f | |||
aCNN: convolutional neural network.
bRL: reinforcement learning.
cKB: knowledge base.
dN/A: not applicable.
eHANN: hierarchical artificial neural network.
fThe best value compared with other models.