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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
core +12 more sources
The Interaction of Knowledge Sources in Word Sense Disambiguation [PDF]
Computational Linguistics, 2021 Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the tradition of combining different knowledge sources in artificial in telligence research.
Mark Stevenson, Yorick Wilks
doaj +9 more sources
Word sense disambiguation: a survey
International Journal of Control Theory and Computer Modeling, 2015 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 upto different extents.
Pal, Alok Ranjan, Saha, Diganta
core +4 more sources
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
doaj +2 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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Word domain disambiguation via word sense disambiguation [PDF]
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX - NAACL '06, 2006 Word subject domains have been widely used to improve the performance of word sense disambiguation algorithms. However, comparatively little effort has been devoted so far to the disambiguation of word subject domains. The few existing approaches have focused on the development of algorithms specific to word domain disambiguation.
Antonio Sanfilippo +2 more
openalex +3 more sources
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 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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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
doaj +2 more sources