Edinburgh Research Archive

Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques

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dc.contributor.author
Dzikovska, Myroslava
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dc.contributor.author
Callaway, Charles
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dc.contributor.author
Farrow, Elaine
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dc.contributor.author
Marques-Pita, Manuel
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dc.contributor.author
Matheson, Colin
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dc.contributor.author
Moore, Johanna D.
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dc.date.accessioned
2010-11-03T14:13:08Z
dc.date.available
2010-11-03T14:13:08Z
dc.date.closingDate
2007-04-25
dc.date.issued
2010-11-03T11:47:27Z
dc.date.openingDate
2007-04-23
dc.date.updated
2010-11-03T14:13:09Z
dc.description.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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dc.extent.noOfPages
2
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dc.identifier.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
dc.identifier.uri
http://hdl.handle.net/1842/4173
dc.language.iso
en
dc.title
Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques
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dc.type
Conference Paper
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rps.title
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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