Controlling Content Realization with Functional Unification Grammars
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
Deep linguistic processing for spoken dialogue systems
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
Interpretation and generation in a knowledge-based tutorial system
KRAQ '06 Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing
The impact of interpretation problems on tutorial dialogue
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Adaptive intelligent tutorial dialogue in the BEETLE II system
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Towards effective tutorial feedback for explanation questions: a dataset and baselines
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
An adaptation algorithm for an intelligent natural language tutoring system
Computers & Education
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We present Beetle II, a tutorial dialogue system designed to accept unrestricted language input and support experimentation with different tutorial planning and dialogue strategies. Our first system evaluation used two different tutoring policies and demonstrated that BEETLE II can be successfully used as a platform to study the impact of different approaches to tutoring. In the future, the system can also be used to experiment with a variety of parameters that may affect learning in intelligent tutoring systems.