Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/4173

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Title:	Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques
Authors:	Dzikovska, Myroslava Callaway, Charles Farrow, Elaine Marques-Pita, Manuel Matheson, Colin Moore, Johanna D.
Issue Date:	3-Nov-2010
Journal Title:	NAACL-Demonstrations '07 Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
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.
URI:	http://portal.acm.org/citation.cfm?id=1614164.1614167&coll=GUIDE&dl=GUIDE&type=series&idx=SERIES11267&part=series&WantType=Proceedings&title=HLT&CFID=://www.google.co.uk/search?source=ig&CFTOKEN=www.google.co.uk/search?source=ig http://hdl.handle.net/1842/4173
Appears in Collections:	Informatics Publications