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» Learning to Extract Information for the Semantic Web
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WWW
2004
ACM
14 years 9 months ago
Authoring of learning styles in adaptive hypermedia: problems and solutions
Learning styles, as well as the best ways of responding with corresponding instructional strategies, have been intensively studied in the classical educational (classroom) setting...
Natalia Stash, Alexandra I. Cristea, Paul De Bra
WWW
2008
ACM
14 years 9 months ago
Learning multiple graphs for document recommendations
The Web offers rich relational data with different semantics. In this paper, we address the problem of document recommendation in a digital library, where the documents in questio...
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Bel...
EUROSYS
2006
ACM
14 years 5 months ago
URICA: Usage-awaRe Interactive Content Adaptation for mobile devices
Usage-awaRe Interactive Content Adaptation (URICA) is an automatic technique that adapts content for display on mobile devices based on usage semantics. URICA allows users who are...
Iqbal Mohomed, Jim Chengming Cai, Eyal de Lara
EMNLP
2009
13 years 6 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
EMNLP
2008
13 years 10 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty