Abstract

This paper presents automatic methods for the segmentation and classification of dialog acts (DA). In VERBMOBIL it is often sufficient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive DAs we conduct the classification of DAs in a two step procedure. First each turn has to be segmented into units which correspond to a DA and second the DA categories have to be identified. For the segmentation we use polygrams and multi-layer perceptrons, using prosodic features. The classification of DAs is done with semantic classification trees and polygrams.

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