TINA: a natural language system for spoken language applications
Computational Linguistics
Word Segments in Category-Based Language Models for Automatic Speech Recognition
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
A Generic Spoken Dialogue Manager Applied to an Interactive 2D Game
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
IEICE - Transactions on Information and Systems
A statistical user simulation technique for the improvement of a spoken dialog system
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Using knowledge of misunderstandings to increase the robustness of spoken dialogue systems
Knowledge-Based Systems
Using domain knowledge about medications to correct recognition errors in medical report creation
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
SG'10 Proceedings of the 10th international conference on Smart graphics
Utilizing review summarization in a spoken recommendation system
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Modeling spoken decision support dialogue and optimization of its dialogue strategy
ACM Transactions on Speech and Language Processing (TSLP)
System Personality and Persuasion in Human-Computer Dialogue
ACM Transactions on Interactive Intelligent Systems (TiiS)
IRIS: a chat-oriented dialogue system based on the vector space model
ACL '12 Proceedings of the ACL 2012 System Demonstrations
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This paper describes the dialogue module of the Mercury system which has been under development over the past year or two. Mercury provides telephone access to an on-line flight database, and allows users to plan and price itineraries between major airports worldwide. The main focus of this paper is the dialogue control strategy, which is based on a set of ordered rules as a mechanism to manage complex dialogue interactions. The paper also describes the interactions between the dialogue component and the other servers of the system, mediated via a central hub. We evaluated the system on 49 dialogues from users booking real flights, and report on a number of quantitative measures of the dialogue interaction.