Cross-Domain Dialogue Act Tagging

We present recent work in the area of Cross-Domain Dialogue Act (DA) tagging. We have previously reported on the use of a simple dialogue act classifier based on purely intra-utterance features -- principally involving word n-gram cue phrases automatically generated from a training corpus. Such a classifier performs surprisingly well, rivalling scores obtained using far more sophisticated language modelling techniques. In this paper, we apply these automatically extracted cues to a new annotated corpus, to determine the portability and generality of the cues we learn.

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Nick Webb, Ting Liu, Mark Hepple, Yorick Wilks
• Keywords: Cross-Domain Dialogue Act, Dialogue Act, Education, LREC 2008, Simple Dialogue Act