Results 11 to 20 of about 58,551 (288)
SemEval-2023 Task 1: Visual Word Sense Disambiguation [PDF]
International Workshop on Semantic Evaluation, 2023 This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task.The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal ...
Alessandro Raganato +4 more
semanticscholar +2 more sources
Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 A major obstacle in Word Sense Disambiguation (WSD) is that word senses are not uniformly distributed, causing existing models to generally perform poorly on senses that are either rare or unseen during training.
Terra Blevins, Luke Zettlemoyer
semanticscholar +3 more sources
Role of Genetic Algorithm in Optimization of Hindi Word Sense Disambiguation
IEEE Access, 2022 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 of ...
Surbhi Bhatia +2 more
semanticscholar +3 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
doaj +2 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
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
Subjectivity word sense disambiguation [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09, 2009 This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses. We provide empirical evidence that SWSD is more feasible than full word sense disambiguation, and that it can be ...
Cem Akkaya, Janyce Wiebe, Rada Mihalcea
openalex +2 more sources
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 +2 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
doaj +2 more sources
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
doaj +2 more sources