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Paper Detail

Paper:	SLP-P6.10
Session:	Speech Understanding, Translation, Applications and Systems
Time:	Tuesday, May 16, 16:30 - 18:30
Presentation:	Poster
Topic:	Speech and Spoken Language Processing: Speech Understanding
Title:	Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
Authors:	Matthias Zimmermann, University of California, Berkeley, United States; Andreas Stolcke, Elizabeth Shriberg, SRI International / University of California, Berkeley, United States
Abstract:	This paper investigates a scheme for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus based on hidden-event language models and a maximum entropy classifier for the modeling of word boundary types. Specifically, the modeling of the boundary types takes into account dependencies between the duration of a pause and its surrounding words. Results for the proposed method compare favorably with our previous work on the same task.