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    STUDIA INFORMATICA - Issue no. Sp.Issue%201 / 2009  
         
  Article:   IMPROVING DEFINITION ALIGNMENT BY SVM WITH A KERNEL OF KERNELS.

Authors:  LAURA DIOŞAN, ALEXANDRINA ROGOZAN. 		 
       
         
  Abstract:   The alignment between a specialized terminology used by the librarians to index concepts and a general vocabulary employed by a neophyte user inorder to retrieve documents on Internet, will certainly improve the performances of the information retrieval process. We develop a medical terminology alignment by an SVM classifier with an optimised kernel trained on a compact, butrelevant representation of such definition pairs by several similarity measures and the length of definitions. The results obtained on the test set show the relevanceof our approach, as the F-measure reaches 88%. However, this conclusion should be validated on larger corpora.

Key words and phrases. Alignment, SVM, Kernel of kernels, Genetic Programming. 		 
         
     
         
         
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