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Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1447
Abstract: In communication, textual data are a vital attribute. In all languages, ambiguous or polysemous words' meaning changes depending on the context in which they are used. The ability to determine the ambiguous word's correct meaning…
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Keywords:
sense disambiguation;
word;
word sense;
natural language ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0918-0
Abstract: This paper focuses on the word sense disambiguation (WSD) problem in the context of Urdu language. Word sense disambiguation (WSD) is a phenomena for disambiguating the text so that machine (computer) would be capable to…
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Keywords:
word;
machine;
sense disambiguation;
word sense ... See more keywords
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Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0433-8
Abstract: Word sense disambiguation (WSD) refers to the task of finding the intended meaning of a word in a given sentence. WordNet® (lexical database based on psychological principals) based on WSD methods have been discussed extensively.…
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Keywords:
word;
sense disambiguation;
word sense;
graph ... See more keywords
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Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.07.022
Abstract: Abstract 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 sense of a word present in a sentence.…
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Keywords:
word;
sense;
sense disambiguation;
method ... See more keywords
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Published in 2020 at "Lingua"
DOI: 10.1016/j.lingua.2020.102896
Abstract: Abstract This paper presents a critical analysis and explication of the approach to the problem of word sense disambiguation by the field of natural language processing. The paper is motivated by the observation that, despite…
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Keywords:
methodology;
word;
sense disambiguation;
word sense ... See more keywords
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Published in 2019 at "Natural Language Engineering"
DOI: 10.1017/s1351324919000421
Abstract: Abstract Humans proficiently interpret the true sense of an ambiguous word by establishing association among words in a sentence. The complete sense of text is also based on implicit information, which is not explicitly mentioned.…
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Keywords:
sense;
sense disambiguation;
word sense;
implicit information ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2970436
Abstract: Word sense disambiguation (WSD) is a task of determining a reasonable sense of a word in a particular context. Although recent studies have demonstrated some progress in the advancement of neural language models, the scope…
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Keywords:
word sense;
method;
word;
sense ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190406
Abstract: The Word Sense Disambiguation system is widely used in many fields, including business, research, education, and government organizations. The availability of natural language data on the internet has grown in tandem with the rapid advancement…
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Keywords:
sense disambiguation;
hindi word;
disambiguation;
word sense ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224802
Abstract: Biomedical words have many semantics. Biomedical word sense disambiguation (WSD) is an important research issue in biomedicine field. Biomedical WSD refers to the process of determining meanings of ambiguous word according to its context. It…
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Keywords:
sense disambiguation;
disambiguation;
word;
biomedical word ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272056
Abstract: Word Sense Disambiguation (WSD) is a significant and challenging task for text understanding and processing. This paper presents an unsupervised approach based on Weighted Co-occurrence bio-Term Graph (WCOTG) for performing WSD in the biomedical domain.…
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Keywords:
disambiguation;
bio term;
graph;
word sense ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3133905
Abstract: An inherent property of natural languages is the possibility of distinct meanings for the same word in different sentences. Word sense induction (WSI) is the unsupervised process of discovering the meanings of a word. The…
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Keywords:
word;
sense induction;
fuzzy word;
word sense ... See more keywords