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A Weakly supervised word sense disambiguation for Polish using rich lexical resources
Poznan Studies in Contemporary Linguistics, 2019Abstract Automatic word sense disambiguation (WSD) has proven to be an important technique in many natural language processing tasks. For many years the problem of sense disambiguation has been approached with a wide range of methods, however, it is still a challenging problem, especially in the unsupervised setting.
Maciej Piasecki, Arkadiusz Janz
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A disambiguation resource extracted from Wikipedia for semantic annotation
, 2012 Éric Charton, Michel Gagnon
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Word Sense Disambiguation for Setswana Using Transformer-Based Models
Proceedings of the 2024 7th International Conference on Artificial Intelligence and Pattern RecognitionThis study explores the performance of various transformer-based models on Word Sense Disambiguation (WSD) for Setswana, a low-resource language. We evaluated six models: PuoBERTa, BERT-base-multilingual-cased, XLM-Roberta-base, Afro-XLMR-base, LaBSE ...
G. Malema, Boago Okgetheng
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Measuring language transferability for cross-lingual word sense disambiguation
Other ConferencesCross-lingual transfer is an effective technique in improving word sense disambiguation (WSD) in low resource languages by leveraging knowledge from other higher resource languages. However, the impact of the source language selection for the transfer is
Shengyu Li, Hao Feng, Tingting Wei
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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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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.
Nick Cercone +3 more
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Proceedings of the 2009 International Conference on Hybrid Information Technology, 2009
The high frequency of the use of Arabic numerals in informative texts and their multiple senses and readings deteriorate the accuracy of TTS systems. This paper presents a hybrid word sense disambiguation method exploiting a tagged corpus and a Korean wordnet, KorLex 1.0, for the correct and efficient conversion of Arabic numerals into Korean phonemes ...
Youngim Jung, Minho Kim, Hyuk-Chul Kwon
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The high frequency of the use of Arabic numerals in informative texts and their multiple senses and readings deteriorate the accuracy of TTS systems. This paper presents a hybrid word sense disambiguation method exploiting a tagged corpus and a Korean wordnet, KorLex 1.0, for the correct and efficient conversion of Arabic numerals into Korean phonemes ...
Youngim Jung, Minho Kim, Hyuk-Chul Kwon
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Improving Word Sense Disambiguation By Adopting Refined Algorithms
2024 Third International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON)Word sense disambiguation (WSD) is an important subfield of Natural Language Processing (NLP) that helps in determining the correct sense of a word in a sentence based on the context.
Anirudh S Nair +5 more
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Evaluating Word Sense Disambiguation Techniques for Punjabi Language: A Comparative Analysis
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTWord Sense Disambiguation (WSD) is a fundamental task in natural language processing (NLP) that focuses on determining the precise meaning of a word by analyzing its contextual usage.This paper presents a comprehensive analysis of various WSD techniques ...
Gursewak Singh
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2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014
Phrase-level polarity disambiguation recently became attractive. Nowadays, most corners of the sentiment analysis research have been investigated while the core and hard parts are not yet intensively explored, among which polarity disambiguation is one.
Samir E. AbdelRahman +2 more
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Phrase-level polarity disambiguation recently became attractive. Nowadays, most corners of the sentiment analysis research have been investigated while the core and hard parts are not yet intensively explored, among which polarity disambiguation is one.
Samir E. AbdelRahman +2 more
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