Classifying Non-Sentential Utterances in Dialogue: A Machine Learning Approach
Computational Linguistics
Integration of speech and text processing modules into a real-time dialogue system
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
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Being confronted with spontaneous speech, our current annotation scheme requires alterations that would reflect the abundant use of non-sentential fragments with clausal meaning tightly connected to their context, which do not systematically occur in written texts. The purpose of this paper is to list the common patterns of non-sentential fragments and their contexts and to find a smooth resolution of their semantic annotation.