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» Learning Language Semantics from Ambiguous Supervision
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SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
14 years 11 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
LREC
2008
110views Education» more  LREC 2008»
14 years 11 months ago
Information Extraction Tools and Methods for Understanding Dialogue in a Companion
This paper discusses how Information Extraction is used to understand and manage Dialogue in the EU-funded Companions project. This will be discussed with respect to the Senior Co...
Roberta Catizone, Alexiei Dingli, Hugo Pinto, Yori...
IDA
1998
Springer
14 years 9 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
COGSCI
2008
139views more  COGSCI 2008»
14 years 9 months ago
A Computational Model of Early Argument Structure Acquisition
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Afra Alishahi, Suzanne Stevenson
ACL
1998
14 years 11 months ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin