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 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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Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation [PDF]
Journal of Integrative Bioinformatics, 2017 Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
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Sentence Semantic Similarity based Complex Network approach for Word Sense Disambiguation [PDF]
International Journal on Recent and Innovation Trends in Computing and Communication, 2023 Word Sense Disambiguation is a branch of Natural Language Processing(NLP) that deals with multi-sense words. The multi-sense words are referred to as the polysemous words. The term lexical ambiguity is introduced by the multi-sense words.
Gopal Mohadikar, et al.
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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.
Turney, Peter D.
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Word sense disambiguation criteria: a systematic study [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 This article describes the results of a systematic in-depth study of the criteria used for word sense disambiguation. Our study is based on 60 target words: 20 nouns, 20 adjectives and 20 verbs.
Audibert, Laurent
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Word sense disambiguation for event trigger word detection in biomedicine [PDF]
BMC Bioinformatics, 2011 This paper describes a method for detecting event trigger words in biomedical text based on a word sense disambiguation (WSD) approach. We first investigate the applicability of existing WSD techniques to trigger word disambiguation in the BioNLP 2009 ...
Martinez David, Baldwin Timothy
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Knowledge-based biomedical word sense disambiguation: comparison of approaches [PDF]
BMC Bioinformatics, 2010 Background Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature.
Aronson Alan R, Jimeno-Yepes Antonio J
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A Game-Theoretic Approach to Word Sense Disambiguation [PDF]
Computational Linguistics, 2016 This article presents a new model for word sense disambiguation formulated in terms of evolutionary game theory, where each word to be disambiguated is represented as a node on a graph whose edges represent word relations and senses are represented as ...
Rocco Tripodi, Marcello Pelillo
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Structural semantic interconnections: a knowledge-based approach to word sense disambiguation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005 Roberto Navigli, Paola Velardi
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