From: Chemical-induced disease relation extraction via attention-based distant supervision
Method | Hyper-parameter | Value |
---|---|---|
Attention-based Model | Learning rate | 0.004 |
LSTM hidden state dimension | 200 | |
Mini-batch size | 500 | |
Word embedding dimension | 300 | |
Position embedding dimension | 50 | |
Identifier embedding dimension | 100 | |
Hyponym embedding dimension | 50 | |
Location embedding dimension | 50 | |
Hidden layer nodes | 250 | |
Dropout rate | 0.3 | |
Stacked Auto-encoder Model | Learning rate | 0.008 |
Mini-batch size | 400 | |
Word embedding dimension | 300 | |
Identifier embedding dimension | 100 | |
Hyponym embedding dimension | 50 | |
Encoder layer nodes | 250 | |
Decoder layer nodes | 50 | |
Dropout rate | 0.3 |