An architecture for more realistic conversational systems
Proceedings of the 6th international conference on Intelligent user interfaces
Toward conversational human-computer interaction
AI Magazine
Incremental parsing models for dialog task structure
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A speech mashup framework for multimodal mobile services
Proceedings of the 2009 international conference on Multimodal interfaces
Importance-Driven Turn-Bidding for spoken dialogue systems
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Spoken Dialog Challenge 2010: comparison of live and control test results
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Multi-policy dialogue management
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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Dialog Goes Pervasive Until recently, many dialog systems were information retrieval systems. For example, using a telephone-based interactive response system a US-based user can find flights from United (1-800-UNITED-1), get movie schedules (1-800-777-FILM), or get bus information (Black et al., 2011). These systems save companies money and help users access information 24/7. However, the interaction between user and system is tightly constrained. For the most part, each system only deals with one domain, so the task models are typically flat slot-filling models (Allen et al., 2001b). Also, the dialogs are very structured, with system initiative and short user responses, giving limited scope to study important phenomena such as coreference.