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NAACL
2007
15 years 1 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
BMCBI
2006
91views more  BMCBI 2006»
14 years 11 months ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma
EACL
2009
ACL Anthology
16 years 8 days ago
Semi-Supervised Semantic Role Labeling
Hagen Fürstenau, Mirella Lapata
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 7 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann