A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
COLLAGEN: A Collaboration Manager for Software Interface Agents
User Modeling and User-Adapted Interaction
A collaborative planning model of intentional structure
Computational Linguistics
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Targeted help for spoken dialogue systems: intelligent feedback improves naive users' performance
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Automatic generation of domain models for call centers from noisy transcriptions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Error handling in the RavenClaw dialog management framework
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
A statistical approach to spoken dialog systems design and evaluation
Speech Communication
Example-based dialog modeling for practical multi-domain dialog system
Speech Communication
IEICE - Transactions on Information and Systems
Data-driven user simulation for automated evaluation of spoken dialog systems
Computer Speech and Language
Agenda-based user simulation for bootstrapping a POMDP dialogue system
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Triangular-Chain Conditional Random Fields
IEEE Transactions on Audio, Speech, and Language Processing
Statistical dialog management methodologies for real applications
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A domain-independent statistical methodology for dialog management in spoken dialog systems
Computer Speech and Language
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Spoken dialog systems have difficulty selecting which action to take in a given situation because recognition and understanding errors are prevalent due to noise and unexpected inputs. To solve this problem, this paper presents a hybrid approach to improving robustness of the dialog manager by using agenda-based and example-based dialog modeling. This approach can exploit n-best hypotheses to determine the current dialog state in the dialog manager and keep track of the dialog state using a discourse interpretation algorithm based on an agenda graph and a focus stack. Given the agenda graph and multiple recognition hypotheses, the system can predict the next action to maximize multi-level score functions and trigger error recovery strategies to handle exceptional cases due to misunderstandings or unexpected focus shifts. The proposed method was tested by developing a spoken dialog system for a building guidance domain in an intelligent service robot. This system was then evaluated by simulated and real users. The experimental results show that our approach can effectively develop robust dialog management for spoken dialog systems.