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Marathi Word Sense Disambiguation through unsupervised K-Means Clustering
Engineering, Technology & Applied Science ResearchWord Sense Disambiguation (WSD) is the most crucial Natural Language Processing task and refers to the process of determining the most suitable meaning of a word within its contextual usage.
Rasika Ransing, Archana Gulati
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On the Quality of Lexical Resources for Word Sense Disambiguation
2004Word Sense Disambiguation (WSD) systems are usually evaluated by comparing their absolute performance, in a fixed experimental setting, to other alternative algorithms and methods. However, little attention has been paid to analyze the lexical resources and the corpora defining the experimental settings and their possible interactions with the overall ...
Lluís Màrquez +4 more
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RuSemCor: A Word Sense Disambiguation corpus for Russian
International Conference on Information and Knowledge ManagementWe present RuSemCor, an open Word Sense Disambiguation (WSD) corpus for Russian. The corpus was constructed by manually linking tokens from the OpenCorpora corpus to senses in the Russian wordnet RuWordNet.
Alexander Kirillovich +4 more
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Creating and Analyzing a Dictionary-Based Lexical Resource for Somali Homograph Disambiguation
Abdullahi Mohamed Jibril +1 more
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Curation of a polysemous word dataset for word sense disambiguation in Hausa language
Journal of Statistical Sciences and Computational IntelligenceThe challenge of Word Sense Disambiguation (WSD) is fundamental to Natural Language Processing (NLP), particularly in low-resource languages where lexical ambiguity hinders effective language understanding.
Halima Aminu, I.R. Saidu, P. O. Odion
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arXiv.org
We study a resource-constrained variant of the Random Disambiguation Path (RDP) problem, a generalization of the Stochastic Obstacle Scene (SOS) problem, in which a navigating agent must reach a target in a spatial environment populated with uncertain ...
Li Zhou, Elvan Ceyhan
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We study a resource-constrained variant of the Random Disambiguation Path (RDP) problem, a generalization of the Stochastic Obstacle Scene (SOS) problem, in which a navigating agent must reach a target in a spatial environment populated with uncertain ...
Li Zhou, Elvan Ceyhan
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Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources
2011Word Sense Disambiguation has long been a central problem in computational linguistics. Word Sense Disambiguation is the ability to identify the meaning of words in context in a computational manner. Statistical and supervised approaches require a large amount of labeled resources as training datasets.
Bahareh Sarrafzadeh +3 more
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Workshop on Multiword Expressions
Language models are able to handle compositionality and, to some extent, non-compositional phenomena such as semantic idiosyncrasy, a feature most prominent in the case of idioms.
Uliana Sentsova +3 more
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Language models are able to handle compositionality and, to some extent, non-compositional phenomena such as semantic idiosyncrasy, a feature most prominent in the case of idioms.
Uliana Sentsova +3 more
semanticscholar +1 more source
Word sense disambiguation corpus for Kashmiri
Natural Language ProcessingAmbiguity is considered an indispensable attribute of all natural languages. The process of associating the precise interpretation to an ambiguous word taking into consideration the context in which it occurs is known as word sense disambiguation (WSD ...
T. A. Mir, Aadil Ahmad Lawaye
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Abbreviation Identification and Disambiguation in Real-World Clinical Narratives
2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)The use of non-standardized and context-dependent abbreviations in clinical narratives introduces critical challenges for natural language processing models, limiting the accuracy of information extraction, affecting semantic interpretation, and posing ...
Joao Pedro Joaquim +2 more
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