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» Improving Rule Evaluation Using Multitask Learning
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EACL
2003
ACL Anthology
15 years 3 months ago
Automatic Construction of Machine Translation Knowledge Using Translation Literalness
When machine translation (MT) knowledge is automatically constructed from bilingual corpora, redundant rules are acquired due to translation variety. These rules increase ambiguit...
Kenji Imamura, Eiichiro Sumita, Yuji Matsumoto
SEMWEB
2009
Springer
15 years 8 months ago
Recommendations for Qualitative Ontology Matching Evaluations
This paper suggests appropriate rules to set up ontology matching evaluations and for golden standard construction and use which can significantly improve the quality of the preci...
Aliaksandr Autayeu, Vincenzo Maltese, Pierre Andre...
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 5 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
ESWA
2006
122views more  ESWA 2006»
15 years 1 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
CLEF
2006
Springer
15 years 5 months ago
Experimenting a "General Purpose" Textual Entailment Learner in AVE
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
Fabio Massimo Zanzotto, Alessandro Moschitti