Year: 2008
Type: conference-paper
Abstract: 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.
Authors: Nick Webb, Ting Liu, Mark Hepple, Yorick Wilks
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W1831774695