Research Article
Resolution of English Event Pronouns Based on Machine Learning
Table 3
Experimental parameter configuration.
| Bi-LSTM | Hidden dim: 200 | Number layers: 1 | Dropout: 0.2 |
| FFNN | Hidden dim: 200 | Number layers: 1 | Dropout: 0.2 | Activation: RELU | Word Embedding | Embedding dim: 300 | Character Embedding | Embedding dim: 100 |
| Features | Pos | Embedding dim: 20 | Type | Realis | Genre | Optimizer | Adam | Learning rate | 0.0001 |
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