Research Article
A Sentence-Level Joint Relation Classification Model Based on Reinforcement Learning
| Parameters | Values |
| Word dropout | 0.5 | Position embedding dim | 5 | Bi-LSTM dropout | 0.75 | Bi-LSTM hidden size | 128 | Word embedding dim | 50 | Batch size | 128 | Learning rate | 0.02 | Update rate | 0.01 | Regularization | 0.0001 | Sentence length | 70 | Sample times | 3 | Kernel size | 60 | Stride size | 1 | Sentence output size | 230 | Dropout | 0.5 |
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