However, when the classifier is trained on the combination of the MapTask corpus with other corpora, the performance of the classifier improves.
we concluded that corpus data with a broad spectrum of dialogue phenomena like AMI and Switchboard conversations can be profitably used to train models that have stronger predictive power when applied to new dialogue data from other domains, while MapTask based models are rather limited in this respect.