Abstract
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. © 2009 Association for Computational Linguistics.
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CITATION STYLE
Granell, R., Pulman, S., & Martínez-Hinarejos, C. D. (2009). Simultaneous dialogue act segmentation and labelling using lexical and syntactic features. In Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (pp. 333–336). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1708376.1708425
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