Finding Classes of Dialogue Utterances with Kohonen Networks
نویسندگان
چکیده
In this paper, we present Kohonen Self-Organizing Feature Maps (SOMs) as a method for automatically nding classes of dialogue utterances on the basis of superrcial utterance features, in particular for dialogues found in the Schisma corpus. Furthermore, we discuss some ways for determining the quality of a certain utterance classiication. We propose to use supervised classiication to gain more insight in the results of the unsupervised generation of Kohonen Maps.
منابع مشابه
A Machine Learning Approach to the Classification of Dialogue Utterances
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