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Empirical comparative study to supervised approaches for WSD problem: Survey

机译:WSD问题监督方法的经验比较研究:调查

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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.
机译:互联网已成为最重要的知识来源,因为计算机和网络的普及。始终用户使用一些关键字来了解相关主题,同时花费大量时间来查找他们真正想要的东西,而且由于在互联网中搜索的不精确结果,大多数关于网络采矿方法的研究都试图改善网络搜索的信息的准确性。在这项工作中,我们实施了我们提出的实施大师奴隶投票模型的方法,在此模型中,我们选择了五个强大的监督算法,所以在本文中,我们使用Wordnet,SenseVal-3的经验这些方法实现了这些方法,并尝试在它们之间进行比较。

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