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CIKM
2008
Springer
14 years 11 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
ACL
2007
14 years 11 months ago
A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments
On a multi-dimensional text categorization task, we compare the effectiveness of a feature based approach with the use of a stateof-the-art sequential learning technique that has ...
Yi-Chia Wang, Mahesh Joshi, Carolyn Penstein Ros&e...
NIPS
2000
14 years 10 months ago
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work
We investigate how the normalization of vectors influences the result of SVMs. 1 Normalization For the theoretical background, please refer to [1]. 2 Experiments We empirically co...
Ralf Herbrich, Thore Graepel
AMTA
2004
Springer
15 years 2 months ago
A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
Abstract. Existing automated MT evaluation methods often require expert human translations. These are produced for every language pair evaluated and, due to this expense, subsequen...
Debbie Elliott, Anthony Hartley, Eric Atwell
CVPR
2006
IEEE
15 years 11 months ago
Using Dependent Regions for Object Categorization in a Generative Framework
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
Gang Wang, Ye Zhang, Fei-Fei Li 0002