Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Table 7: Hyperparameters for the CNN and RNN-LSTM hierarchical attention-based compare-aggregate models.
['[EMPTY]', '[BOLD] CNN', '[BOLD] RNN-LSTM']
For the CNN models, we started with the hyperparameters of Wang and Jiang For the RNN-LSTM model we started from the hierarchical CNN model’s hyperparameters and tuned the dropout and learning rate again.