Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Segmented and unsegmented dialogue-act annotation with statistical dialogue models
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Statistical framework for a Spanish spoken dialogue corpus
Speech Communication
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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.