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ACL
2008
13 years 9 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
14 years 1 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
13 years 8 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
14 years 1 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
COGSCI
2011
43views more  COGSCI 2011»
13 years 2 months 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