Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems (bibtex)
by Ramesh Manuvinakurike, Maike Paetzel, Cheng Qu, David Schlangen, David DeVault
Abstract:
In this paper, we present and evaluate an approach to incremental dialogue act (DA) segmentation and classification. Our approach utilizes prosodic, lexico-syntactic and contextual features, and achieves an encouraging level of performance in offline corpus-based evaluation as well as in simulated human-agent dialogues. Our approach uses a pipeline of sequential processing steps, and we investigate the contribution of different processing steps to DA segmentation errors. We present our results using both existing and new metrics for DA segmentation. The incremental DA segmentation capability described here may help future systems to allow more natural speech from users and enable more natural patterns of interaction.
Reference:
Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems (Ramesh Manuvinakurike, Maike Paetzel, Cheng Qu, David Schlangen, David DeVault), In Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, 2016.
Bibtex Entry:
@inproceedings{manuvinakurike_toward_2016,
	address = {Los Angeles, CA},
	title = {Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems},
	url = {http://www.aclweb.org/anthology/W16-3632},
	abstract = {In this paper, we present and evaluate an approach to incremental dialogue act (DA) segmentation and classification. Our approach utilizes prosodic, lexico-syntactic and contextual features, and achieves an encouraging level of performance in offline corpus-based evaluation as well as in simulated human-agent dialogues. Our approach uses a pipeline of sequential processing steps, and we investigate the contribution of different processing steps to DA segmentation errors. We present our results using both existing and new metrics for DA segmentation. The incremental DA segmentation capability described here may help future systems to allow more natural speech from users and enable more natural patterns of interaction.},
	booktitle = {Proceedings of the 17th {Annual} {Meeting} of the {Special} {Interest} {Group} on {Discourse} and {Dialogue}},
	publisher = {Association for Computational Linguistics},
	author = {Manuvinakurike, Ramesh and Paetzel, Maike and Qu, Cheng and Schlangen, David and DeVault, David},
	month = sep,
	year = {2016},
	keywords = {UARC, Virtual Humans},
	pages = {252--262}
}
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