Semantic-head-driven generation
Computational Linguistics
Interactive problem solving and dialogue in the ATIS domain
HLT '91 Proceedings of the workshop on Speech and Natural Language
Abstract task specifications for conversation policies
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Toward conversational human-computer interaction
AI Magazine
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automated tutoring dialogues for training in shipboard damage control
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Probabilistic dialogue modelling
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
Example-based dialog modeling for practical multi-domain dialog system
Speech Communication
The RavenClaw dialog management framework: Architecture and systems
Computer Speech and Language
Interactive question answering and constraint relaxation in spoken dialogue systems
Natural Language Engineering
Switching to real-time tasks in multi-tasking dialogue
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A framework for building conversational agents based on a multi-expert model
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Tracing actions helps in understanding interactions
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
A multi-expert model for dialogue and behavior control of conversational robots and agents
Knowledge-Based Systems
Multi-policy dialogue management
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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We explain dialogue management techniques for collaborative activities with humans, involving multiple concurrent tasks. Conversational context for multiple concurrent activities is represented using a "Dialogue Move Tree" and an "Activity Tree" which support multiple interleaved threads of dialogue about different activities and their execution status. We also describe the incremental message selection, aggregation, and generation method employed in the system.