DocumentCode :
3635011
Title :
Computing of related concepts in a context
Author :
Viliam Ro?kai
Author_Institution :
Department of Cybernetics and Artificial Intelligence Technical University of Ko?ice, Letn? 9 041 20 Ko?ice, Slovak Republic
fYear :
2010
Firstpage :
341
Lastpage :
345
Abstract :
Word sense disambiguation is an opened issue in the text mining and natural language processing for some time. Automatic acquisition of all distinct senses for polysemy words is still a big problem in the computer science. This paper discusses an approach to generate related words for an input word in some context. The context is used for the filtering of the related words for their distinct sense subsets. This approach is based on the associative learning of concepts and can be a step forward to the word sense disambiguation problem solving.
Keywords :
"Mutual information","Random variables","Machine intelligence","Informatics","Cybernetics","Artificial intelligence","Text mining","Natural language processing","Computer science","Filtering"
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2010 IEEE 8th International Symposium on
Print_ISBN :
978-1-4244-6422-7
Type :
conf
DOI :
10.1109/SAMI.2010.5423704
Filename :
5423704
Link To Document :
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