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NAACL
2003

Towards Emotion Prediction in Spoken Tutoring Dialogues

8 years 11 months ago
Towards Emotion Prediction in Spoken Tutoring Dialogues
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annotation and automatic feature extraction from our human-human spoken tutoring corpus indicate that the spoken tutoring system we are developing can be enhanced to automatically predict and adapt to student emotional states.
Diane J. Litman, Katherine Forbes, Scott Silliman
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where NAACL
Authors Diane J. Litman, Katherine Forbes, Scott Silliman
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