A Machine Learning Approach to the Classification of Dialogue Utterances

Abstract

The purpose of this paper is to present a method for automatic classification of dialogue utterances and the results of applying that method to a corpus. Superficial features of a set of training utterances (which we will call cues) are taken as the basis for finding relevant utterance classes and for extracting rules for assigning these classes to new… (More)

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@article{Andernach1996AML, title={A Machine Learning Approach to the Classification of Dialogue Utterances}, author={Toine Andernach}, journal={CoRR}, year={1996}, volume={cmp-lg/9607022} }