Joint identification and segmentation of domain-specific dialogue acts for conversational dialogue systems

Authors:
Fabrizio Morbini;Kenji Sagae
Affiliations:
University of Southern California, Playa Vista, CA;University of Southern California, Playa Vista, CA
Venue:
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Year:
2011

Citing 3
Cited 0

Comparison of alignment templates and maximum entropy models for natural language understanding

EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Multi-party, Multi-issue, Multi-strategy Negotiation for Multi-modal Virtual Agents

IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Towards natural language understanding of partial speech recognition results in dialogue systems

NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers

Quantified Score

Hi-index	0.00

Visualization

Abstract

Individual utterances often serve multiple communicative purposes in dialogue. We present a data-driven approach for identification of multiple dialogue acts in single utterances in the context of dialogue systems with limited training data. Our approach results in significantly increased understanding of user intent, compared to two strong baselines.