This paper presents our work on dialogue act classification using cues automatically extracted from a corpus from one domain, and applying these cues directly as a classifier over a new corpus from a different domain.
(2005a) studied the impact of different size training models when classifying SWITCHBOARD data, using models of 4k, 50k and 202k utterances.