Learning the structure of task-driven human-human dialogs
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
Example-based dialog modeling for practical multi-domain dialog system
Speech Communication
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
A bottom-up exploration of the dimensions of dialog state in spoken interaction
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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Various knowledge sources are used for spoken dialog systems such as task model, domain model, and agenda. An agenda graph is one of the knowledge sources for a dialog management to reflect a discourse structure. This paper proposes a clustering and linking method to automatically construct an agenda graph from human-human dialogs. Preliminary evaluation shows our approach would be helpful to reduce human efforts in designing prior knowledge.