Boosting Applied to Word Sense Disambiguation [PDF]
, 2000 In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach surpasses Naive Bayes and Exemplar ...
Gerard Escudero +2 more
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A comprehensive dataset for Arabic word sense disambiguation [PDF]
Data in BriefThis data paper introduces a comprehensive dataset tailored for word sense disambiguation tasks, explicitly focusing on a hundred polysemous words frequently employed in Modern Standard Arabic.
Sanaa Kaddoura, Reem Nassar
doaj +4 more sources
Application of the transformer model algorithm in chinese word sense disambiguation: a case study in chinese language [PDF]
Scientific ReportsThis study aims to explore the research methodology of applying the Transformer model algorithm to Chinese word sense disambiguation, seeking to resolve word sense ambiguity in the Chinese language.
Linlin Li +3 more
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Harmony Search Algorithm for Word Sense Disambiguation. [PDF]
PLoS ONE, 2015 Word Sense Disambiguation (WSD) is the task of determining which sense of an ambiguous word (word with multiple meanings) is chosen in a particular use of that word, by considering its context.
Saad Adnan Abed +2 more
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Improving Japanese zero pronoun resolution by global word sense disambiguation [PDF]
, 2004 This paper proposes unsupervised word sense disambiguation based on automatically constructed case frames and its incorporation into our zero pronoun resolution system. The word sense disambiguation is applied to verbs and nouns.
Daisuke Kawahara, Sadao Kurohashi
openalex +4 more sources
Word sense disambiguation using hybrid swarm intelligence approach. [PDF]
PLoS ONE, 2018 Word sense disambiguation (WSD) is the process of identifying an appropriate sense for an ambiguous word. With the complexity of human languages in which a single word could yield different meanings, WSD has been utilized by several domains of interests ...
Wafaa Al-Saiagh +4 more
doaj +2 more sources
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities [PDF]
, 2004 This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3.
Peter D. Turney
openalex +6 more sources
A Learning-Based Approach for Biomedical Word Sense Disambiguation [PDF]
The Scientific World Journal, 2012 In the biomedical domain, word sense ambiguity is a widely spread problem with bioinformatics research effort devoted to it being not commensurate and allowing for more development.
Hisham Al-Mubaid, Sandeep Gungu
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A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association [PDF]
The Scientific World Journal, 2013 Word sense disambiguation (WSD) is a fundamental problem in nature language processing, the objective of which is to identify the most proper sense for an ambiguous word in a given context. Although WSD has been researched over the years, the performance
Xin Wang, Wanli Zuo, Ying Wang
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Word sense disambiguation of acronyms in clinical narratives [PDF]
Frontiers in Digital HealthClinical narratives commonly use acronyms without explicitly defining their long forms. This makes it difficult to automatically interpret their sense as acronyms tend to be highly ambiguous.
Daphné Chopard +2 more
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