Dialogue Act Recognition using Cue Phrases
نویسنده
چکیده
Dialogue acts play an important role in modelling discourse phenomena in several components of modern dialogue systems. Many different features have been so far proposed for dialogue act recognition. In this report, we take a cue-based model approach, and use N grams in utterances in dialogue as cue phrases. In our experiment with the switchboard corpus, we obtained 57.1% classification accuracy. We show that our approach is a useful technique to help us detect promising cue phrases for dialogue act recognition.
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