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Segmentation of utterances and annotation as dialogue acts can be helpful for several modules of dialogue systems. In this work, we study a statistical machine learning model to perform these tasks simultaneously using lexical features and incorporating deterministic syntactic restrictions. There is a slight improvement in both segmentation and labelling due to these restrictions.

Simultaneous dialogue act segmentation and labelling using lexical and syntactic features