Neural-based Context Representation Learning for Dialog Act Classification
Table 4: Accuracy (%) of baselines and models with different context processing methods.
['[BOLD] Model', '[BOLD] MRDA', '[BOLD] SwDA']
Results on the Baseline I and the Baseline II on both datasets show that a simple context concatenation is not enough to model the context information for this task. While on SwDA the accuracy improves by 1.3%, it slightly drops on MRDA. Other simple methods such as Max and Attention do not improve the results over the baseline either.