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» Learning to learn with the informative vector machine
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FLAIRS
2008
15 years 9 months ago
A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs
This paper shows that semantic role labeling is a consequence of accurate verbal predicate labeling. In doing so, the paper presents a novel type of semantic feature for verbal pr...
Hansen A. Schwartz, Fernando Gomez, Christopher Mi...
ICML
2007
IEEE
16 years 7 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
ICML
2003
IEEE
16 years 7 months ago
Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...
Jason D. Rennie, Lawrence Shih, Jaime Teevan, Davi...
LREC
2008
160views Education» more  LREC 2008»
15 years 8 months ago
Automatic Extraction of Textual Elements from News Web Pages
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
Hossam Ibrahim, Kareem Darwish, Abdel-Rahim Madany
ECTEL
2007
Springer
16 years 1 months ago
Lifecycle Information Management for Learning Resources and Knowledge Documents
Lifecycle information can be of great help in the retrieval, authoring and usage of both, Learning Resources and Knowledge Documents. In my PhD thesis I want to show how the differ...
Lasse Lehmann