A* Based Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings

Citation

Zimmermann, M., Liu, Y., Shriberg, E., & Stolcke, A. (2005, November). A* based joint segmentation and classification of dialog acts in multiparty meetings. In IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. (pp. 215-219). IEEE.

Abstract

We investigate the use of the A* algorithm for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. For the heuristic search a probabilistic framework is used that is based on DA-specific N-gram language models. Furthermore, two new metrics for performance evaluation are motivated and described and the influence of different metrics for performance evaluation is demonstrated. The proposed method is evaluated on both traditional and new metrics, and compared with our previous work on the same task.


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