Turn-yielding cues in task-oriented dialogue
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Learning about voice search for spoken dialogue systems
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
An investigation of interruptions and resumptions in multi-tasking dialogues
Computational Linguistics
Learning to balance grounding rationales for dialogue systems
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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We apply a PARADISE-style evaluation to a human-human dialogue corpus that was collected to support the design of a spoken dialogue system for library transactions. The book request dialogue task we investigate is informational in nature: a book request is considered successful if the librarian is able to identify a specific book for the patron. PARADISE assumes that user satisfaction can be modeled as a regression over task success and dialogue costs. The PARADISE model we derive includes features that characterize two types of qualitative features. The first has to do with the specificity of the communicative goals, given a request for an item. The second has to do with the number and location of overlapping turns, which can sometimes signal rapport between the speakers.