Jarana Manotumruksa

Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation

While state-of-the-art Dialogue State Tracking (DST) models show promising results, all of them rely on a traditional cross-entropy loss function during the training process, which may not be optimal for improving the joint goal accuracy. Although several approaches recently propose augmenting the t…