Abstract
We present tutorial dialogue systems in two different domains that demonstrate the use of dialogue management and deep natural language processing techniques. Generation techniques are used to produce natural sounding feedback adapted to student performance and the dialogue history, and context is used to interpret tentative answers phrased as questions.
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CITATION STYLE
Dzikovska, M. O., Callaway, C. B., Farrow, E., Marques-Pita, M., Matheson, C., & Moore, J. D. (2007). Adaptive tutorial dialogue systems using deep NLP techniques. In NAACL-HLT 2007 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Demonstrations (pp. 5–6). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1614164.1614167
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