tailieunhanh - Báo cáo khoa học: "AN EMPIRICAL MODEL OF ACKNOWLEDGMENT"

We refine and extend prior views of the description, purposes, and contexts-of-use of acknowledgment acts through empirical examination of the use of acknowledgments in task-based conversation. We distinguish three broad classes of acknowledgments (other--*ackn, self--*other--*ackn, and self+ackn) and present a catalogue of 13 patterns within these classes that account for the specific uses of acknowledgment in the corpus. | AN EMPIRICAL MODEL OF ACKNOWLEDGMENT FOR SPOKEN-LANGUAGE SYSTEMS David G. Novick and Stephen Sutton Interactive Systems Group Department of Computer Science and Engineering Oregon Graduate Institute 20000 . Walker Rd. . Box 91000 Portland OR 97291-1000 Abstract We refine and extend prior views of the description purposes and contexts-of-use of acknowledgment acts through empirical examination of the use of acknowledgments in task-based conversation. We distinguish three broad classes of acknowledgments other ackn self mother ackn and self ackn and present a catalogue of 13 patterns within these classes that account for the specific uses of acknowledgment in the corpus. 1 MOTIVATION This study is motivated by the need for better dialogue models in spoken-language systems SLSs . Dialogue models contribute directly to the interaction by providing inter-utterance coherence. Fluent understanding and use of acknowledgments should improve spoken-language systems in at least the following ways Preventing miscommunication. Acknowledgments are an important device for establishing mutual knowledge and signaling comprehension. Early detection and correction of cases of miscommunication and misunderstanding should prevent failure that would otherwise have been even more catastrophic. Improved naturalness. Acknowledgments are a prominent feature of human-human dialogue. Supporting the use of acknowledgments for both the system and the user will emphasize the naturalness of interfaces and improve their utility. Dialogue control. Humans cope with dialogue control . turn-taking with seemingly little or no effort. Acknowledgments form an intricate relationship with dialogue control mechanisms. Understanding these control mechanisms is central to the development and success of spoken language systems in order to track dialogues and determine appropriate system actions. Improved recognition. To the extent that a dialogue model can narrow the range of .