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Kernel methods for word sense disambiguation
Artificial Intelligence Review, 2015Many applications of natural language processing (NLP) need an accurate resolution of various ambiguities existing in natural language. The task of fulfilling this need is also called word sense disambiguation (WSD). WSD is to resolve the correct sense for an instance of a polysemous word.
Xiangjun Li +4 more
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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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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 in evolutionary manner
Connection Science, 2016The task of assigning proper meaning to an ambiguous word in a particular context is termed word sense disambiguation (WSD). We propose a genetic algorithm, improved by local search techniques, to maximise the overall semantic similarity or relatedness of a given text. Local search is used because of the inefficiency of population-based algorithms (e.g.
Saad Adnan Abed +2 more
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Word Sense Disambiguation with Semantic Networks
2008Word 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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A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information (Switzerland), 2023Gopi Battineni +2 more
exaly
WordNet Based Word Sense Disambiguation
2011Due to the intrinsic ambiguity of a natural language the word sense disambiguation or WSD is a challenging task. The paper uses WordNet for (WSD) for that purpose. Unlike many others approaches on that area it exploits the structure of WordNet in an indirect manner. To disambiguate the words it measures the semantic similarity of the words glosses. The
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Word sense disambiguation based on context selection using knowledge-based word similarity
Information Processing and Management, 2021Youngjoong Ko +2 more
exaly
Word Sense Disambiguation for Semantic Applications.
2006Natural 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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