DocumentCode :
2051602
Title :
Empirical comparative study to supervised approaches for WSD problem: Survey
Author :
Zopon AL Bayaty, Boshra F. ; Joshi, Shashank
Author_Institution :
Dept. of Comput. Sci., AL-Mustansiriyah Univ., Baghdad, Iraq
fYear :
2015
fDate :
May 31 2015-June 4 2015
Firstpage :
1
Lastpage :
7
Abstract :
The Internet has become the most important knowledge source, because the popularity of computers and networks. Always the users use some keywords to find out the related topics, at same time spend a lot of time to finding what they really want, and because of the imprecise results of search in the Internet, most studies of web mining method are trying to improving the accuracy of the information gotten from Web search. In this work we implemented the approaches of our proposed implement master-slave voting model, and in this model we selected five robust supervised algorithms, so in this paper we implemented empirically these approaches using WordNet, Senseval-3, and tried make comparative between them.
Keywords :
Internet; data mining; learning (artificial intelligence); natural language processing; search engines; Senseval-3; WSD problem; Web mining method; Web search; WordNet; empirical analysis; information accuracy improvement; internet search; knowledge source; master-slave voting model; robust supervised algorithms; word sense disambiguation; Accuracy; Algorithm design and analysis; Classification algorithms; Context; Decision trees; Machine learning algorithms; Support vector machines; Accuracy; Natural Language Processing (NLP); Senseval- 3; Supervised Approaches; Web; Word Sense Disambiguation (WSD); WordNet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanitarian Technology Conference (IHTC2015), 2015 IEEE Canada International
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4799-8961-4
Type :
conf
DOI :
10.1109/IHTC.2015.7238056
Filename :
7238056
Link To Document :
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