Unlike the baseline models, which show a large variance in performance across corpora, our model is robust for both corpora used in the evaluation due to the model components complementing one another.
content word filtering is found to be effective when each conversation has a consistent conversational topic, and the separation between sentence-level and utterance-level DAs is beneficial for long utterances.