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Proceedings of the 2007 Workshop on Spoken Language Technology for Education (SLaTE)

dc.contributor.authorCallaway, Charles
dc.contributor.authorDzikovska, Myroslava
dc.contributor.authorFarrow, Elaine
dc.contributor.authorMarques-Pita, Manuel
dc.contributor.authorMatheson, Colin
dc.contributor.authorMoore, Johanna D.
dc.date.accessioned2010-11-03T14:38:10Z
dc.date.available2010-11-03T14:38:10Z
dc.date.issued2007
dc.identifier.urihttp://en.scientificcommons.org/43937121en
dc.identifier.urihttp://hdl.handle.net/1842/4175
dc.description.abstractWe describe two tutorial dialogue systems that adapt techniques from task-oriented dialogue systems to tutorial dialogue. Both systems employ the same reusable deep natural language understanding and generation components to interpret students ' written utterances and to automatically generate adaptive tutorial responses, with separate domain reasoners to provide the necessary knowledge about the correctness of student answers and hinting strategies. We focus on integrating the domain-independent language processing components with domain-specific reasoning and tutorial components in order to improve the dialogue interaction, and present a preliminary analysis of BeeDiff's evaluation.en
dc.language.isoenen
dc.subjecttutoring systemsen
dc.subjectdialogueen
dc.subjectdeep processing 1en
dc.titleThe Beetle and BeeDiff Tutoring Systemsen
dc.typeConference Paperen
rps.titleProceedings of the 2007 Workshop on Spoken Language Technology for Education (SLaTE)en
dc.extent.noOfPages4en
dc.date.updated2010-11-03T14:38:10Z
dc.date.openingDate2007-10-01
dc.date.closingDate2007-10-03


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