Abstract: Natural language processing (NLP) has become the most significant obstacle that has been restricting the applications via the web.
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What is word sense disambiguation in semantic analysis?
What are the different types of WSD?
What are the applications of WSD in NLP?
What are the advantages of WSD?
Feb 29, 2020 · In this paper, a knowledge-based method is proposed, modeling the problem with semantic space and semantic path hidden behind a given sentence.
We propose such a semantic classification based method to disambiguate ambiguous mappings with different semantic type(s), which can be used with any program ...
Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context.
Sep 30, 2011 · Word sense disambiguation (WSD) is the problem of determining which "sense" (meaning) of a word is activated by the use of the word in a particular context.
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Word sense disambiguation (WSD) finds the actual meaning of a word according to its context. This paper presents a novel WSD method to find the correct ...
(PDF) Word Sense Disambiguation for Semantic Applications.
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Word sense disambiguation (WSD) is an important intermediate stage for many natural language processing applications. The senses of an ambiguous word are the ...
Apr 21, 2023 · Word Sense Disambiguation (WSD) is a subtask of Natural Language Processing that deals with the problem of identifying the correct sense of a word in context.
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner.
In this paper, we made a survey on Word Sense Disambiguation (WSD). Near about in all major languages around the world, research in WSD has been conducted ...