A Machine Learning Approach to the Classification of Dialogue Utterances

Details A Machine Learning Approach to the Classification of Dialogue Utterances A Machine Learning Approach to the Classification of Dialogue Utterances

1996-07-16

arxiv.org/abs/cmp-lg/9607022v1

Computer Science

Computation and Language

12 pages, using nemlap.sty, harvard.sty and agsm.bst, to appear in Proceedings of NeMLaP-2, Bilkent University, Ankara, Turkey

Scientific paper

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 utterances. Each cue is assumed to partially contribute to the communicative function of an utterance. Instead of relying on subjective judgments for the tasks of finding classes and rules, we opt for using machine learning techniques to guarantee objectivity.

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