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ICASSP
2010
IEEE
13 years 11 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
14 years 28 days ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...
VR
1999
IEEE
113views Virtual Reality» more  VR 1999»
14 years 3 months ago
The Round Earth Project: Deep Learning in a Collaborative Virtual World
The Round Earth Project is investigating how virtual reality technology can be used to help teach concepts that are counter-intuitive to a learner's currently held mental mod...
Andrew E. Johnson, Thomas G. Moher, Stellan Ohlsso...
INFORMATICASI
2008
46views more  INFORMATICASI 2008»
13 years 11 months ago
A Readability Checker with Supervised Learning Using Deep Indicators
Tim vor der Brück, Sven Hartrumpf, Hermann He...
NECO
2006
68views more  NECO 2006»
13 years 11 months ago
A Fast Learning Algorithm for Deep Belief Nets
Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh