WSD Implementation for Processing Improvement of Structured Documents

Authors

  • Madalina Zurini

Keywords:

WordNet, supervised classification, word similarity, context similarity, ontology

Abstract

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.

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Published

2013-09-30

How to Cite

Zurini, M. (2013). WSD Implementation for Processing Improvement of Structured Documents. Journal of Mobile, Embedded and Distributed Systems, 5(3), 101-107. Retrieved from http://jmeds.eu/index.php/jmeds/article/view/99

Issue

Vol. 5 No. 3 (2013): Performance and Security

Section

Articles

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