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Word Sense Disambiguation

1988
Computational lexical approaches to disambiguation divide into syntactic category assignment such as whether farm is a noun or a verb (Milne, 1986) and word sense disambiguation within syntactic category.9 The latter problem is the subject of this chapter.
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Word Sense Disambiguation with Semantic Networks

2008
Word sense disambiguation (WSD) methods evolve towards exploring all of the available semantic information that word thesauri provide. In this scope, the use of semantic graphs and new measures of semantic relatedness may offer better WSD solutions. In this paper we propose a new measure of semantic relatedness between any pair of terms for the English
George Tsatsaronis 0001   +2 more
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Word sense disambiguation based on context selection using knowledge-based word similarity

Information Processing and Management, 2021
Youngjoong Ko, Sunjae Kwon, Dongsuk Oh
exaly  

An unsupervised method for word sense disambiguation

Journal of King Saud University - Computer and Information Sciences, 2022
Nazreena Rahman, Bhogeswar Borah
exaly  

Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations

Information Sciences, 2021
Evangelos E. Milios   +2 more
exaly  

Word Sense Disambiguation for Semantic Applications.

2006
Natural language processing (NLP) has become the most significant obstacle that has been restricting the applications via the web. Today, very little of the content on the web can be understood by the machines, although vast amount of electronic information has been kept on them.
Orhan Z., Altan Z.
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Word Sense Disambiguation: A comprehensive knowledge exploitation framework

Knowledge-Based Systems, 2020
Hamido Fujita, Yinglin Wang
exaly  

Word sense disambiguation: A survey

ACM Computing Surveys, 2009
Roberto Navigli
exaly  

A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation

ACM Transactions on Asian and Low-Resource Language Information Processing, 2019
Paul Edward Rayson   +2 more
exaly  

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