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ACL
2008
15 years 7 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
AIED
2007
Springer
15 years 11 months ago
Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab?
In this work we are investigating the learning benefits of e-Learning principles (a) within the context of a web-based intelligent tutor and (b) in the “wild,” that is, in real...
Bruce M. McLaren, Sung-Joo Lim, David Yaron, Kenne...
ICML
2010
IEEE
15 years 6 months ago
Active Learning for Multi-Task Adaptive Filtering
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
Abhay Harpale, Yiming Yang
ICALT
2006
IEEE
15 years 11 months ago
Vicarious Learning and Multimodal Dialogue
Vicarious Learning is learning from watching others learn. We believe that this is a powerful model for computer-based learning. Learning episodes can be captured and replayed to ...
John Lee
145
Voted
COGSCI
2011
43views more  COGSCI 2011»
15 years 17 days ago
Japanese Sound-Symbolism Facilitates Word Learning in English-Speaking Children
Sound symbolism is the non-arbitrary link between the sound of a word and its meaning. Imai et al. (2008) showed that Japanese speaking children benefited from the presence of sou...
Katerina Kantartzis, Mutsumi Imai, Sotaro Kita