Training only using 1,000 annotated in-domain ConvBank data reaches 75.65% and 58.29% accuracy on unlabeled and labeled edges respectively.
models trained on datasets based on news articles and web data do not perform well on spoken human-machine dialog, and currently available annotation schemes do not adapt well to dialog data.