期刊名称：Journal of Mobile, Embedded and Distributed Systems
印刷版ISSN：2067-4074
出版年度：2013
卷号：5
期号：3
页码：101-107
语种：English
出版社：Journal of Mobile, Embedded and Distributed Systems
摘要：The term of word sense disambiguation, WSD, is introduced in the context of text document processing. A knowledge based approach is conducted using WordNet lexical ontology, describing its structure and components used for the process of identification of context related senses of each polysemy words. The principal distance measures using the graph associated to WordNet are presented, analyzing their advantages and disadvantages. A general model for aggregation of distances and probabilities is proposed and implemented in an application in order to detect the context senses of each word. For the non-existing words from WordNet, a similarity measure is used based on probabilities of co-occurrences.
关键词：WordNet; supervised classification; word similarity; context similarity; ontology
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