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» Learning Classifiers from Semantically Heterogeneous Data
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AGENTS
1999
Springer
14 years 2 months ago
Learning to Remove Internet Advertisements
This paper discusses improving the methodology introduced in Kushmerick’s paper about learning to remove internet advertisements. The aim is to reduce the model build time as we...
Nicholas Kushmerick
NAACL
2007
13 years 11 months ago
Can Semantic Roles Generalize Across Genres?
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...
Szu-ting Yi, Edward Loper, Martha Palmer
BMCBI
2008
140views more  BMCBI 2008»
13 years 10 months ago
GORouter: an RDF model for providing semantic query and inference services for Gene Ontology and its associations
Background: The most renowned biological ontology, Gene Ontology (GO) is widely used for annotations of genes and gene products of different organisms. However, there are shortcom...
Qingwei Xu, Yixiang Shi, Qiang Lu, Guo-qing Zhang,...
AH
2008
Springer
14 years 4 months ago
Convergence of Web and TV Broadcast Data for Adaptive Content Access and Navigation
Abstract. iFanzy is a personalized TV guide application aiming at offering users television content in a personalized and context-sensitive way. It consists of a client-server syst...
Pieter Bellekens, Kees van der Sluijs, Lora Aroyo,...
CMSB
2003
Springer
14 years 3 months ago
An Overview of Data Models for the Analysis of Biochemical Pathways
Biochemical pathways such as metabolic, regulatory or signal tranduction pathways can be viewed as interconnected processes forming an intricate network of functional and physical...
Yves Deville, David Gilbert, Jacques van Helden, S...