Abstract
We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based on word information are investigated and compared with previous work on the same task. We also describe several metrics to assess the quality of the segmentation alone as well as the joint performance of segmentation and classification of DAs.
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Zimmermann, M., Liu, Y., Shriberg, E., Stolcke, A. (2006). Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings. In: Renals, S., Bengio, S. (eds) Machine Learning for Multimodal Interaction. MLMI 2005. Lecture Notes in Computer Science, vol 3869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11677482_16
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DOI: https://doi.org/10.1007/11677482_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32549-9
Online ISBN: 978-3-540-32550-5
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