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» Exploiting WordNet as Background Knowledge
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JIB
2010
85views more  JIB 2010»
13 years 3 months ago
An evaluation of the performance of three semantic background knowledge sources in comparative anatomy
In this paper we evaluate the performance and usefulness of three semantic background knowledge sources for predicting synonymous anatomical terms across species boundaries. The r...
Ernest A. A. van Ophuizen, Jack A. M. Leunissen
JAIR
2006
113views more  JAIR 2006»
13 years 4 months ago
Generative Prior Knowledge for Discriminative Classification
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Arkady Epshteyn, Gerald DeJong
SAC
2009
ACM
13 years 11 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
EWCBR
2004
Springer
13 years 10 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl
COLING
2010
12 years 11 months ago
Exploiting Background Knowledge for Relation Extraction
Relation extraction is the task of recognizing semantic relations among entities. Given a particular sentence supervised approaches to Relation Extraction employed feature or kern...
Yee Seng Chan, Dan Roth