Attention, intentions, and the structure of discourse
Computational Linguistics
Informational redundancy and resource bounds in dialogue
Informational redundancy and resource bounds in dialogue
Spoken dialogue technology: enabling the conversational user interface
ACM Computing Surveys (CSUR)
The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Plan-based dialogue management in a physics tutor
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
A framework for robust semantic interpretation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Journal of Automated Reasoning
Deciding to remind during collaborative problem solving: empirical evidence for agent strategies
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Natural Language Engineering
Tools for Authoring a Dialogue Agent that Participates in Learning Studies
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Adaptive tutorial dialogue systems using deep NLP techniques
NAACL-Demonstrations '07 Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
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We describe extensions to a finite-state dialogue manager and its author scripting language that enable control over content repetition during tutorial dialogue. The problem of controlling redundancy requires the specification of complex conditions on the discourse history that are beyond the capabilities of the intended users of the scripting language. We show that the problem can be addressed by adding semantic labelling and the marking of optional steps and difficulty levels to the scripting language and heuristic algorithms to the dialogue manager.