Co-Attention Based Neural Network for Source-Dependent Essay Scoring
Table 3: Hyper-parameters of training.
['[BOLD] Layer', '[BOLD] Parameter Name', '[BOLD] Value']
To select the best model, we trained each model on 100 epochs and evaluated on the development set after each epoch. The best model is the model with the best QWK on the development set. This is done five times, once for each partition in the cross-validation. Then the average QWK score from these five evaluations on the test set is reported. Paired t-tests are used for significance tests with p<0.05.