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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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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Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources
Cognitive Studies | Études cognitives, 2015 Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources Lexical resources can be applied in many different Natural Language Engineering tasks, but the most fundamental task is the recognition of word senses used in ...
Paweł Kędzia +2 more
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TWE-WSD: An effective topical word embedding based word sense disambiguation
CAAI Transactions on Intelligence Technology, 2021 National Natural Science Foundation of China, Grant/Award Number: 61562054; The Fund of China Scholarship Council, Grant/Award Number: 201908530036; Talents Introduction Project of Guangxi University for Nationalities, Grant/Award Number: 2014MDQD020 ...
Lianyin Jia +5 more
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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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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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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Transactions of the Association for Computational Linguistics, 2014 Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. But while the two tasks are pretty similar, they differ in a fundamental respect: in EL the textual mention can be linked to a named entity which may ...
A. Moro +2 more
semanticscholar +2 more sources
Random Walks for Knowledge-Based Word Sense Disambiguation [PDF]
Computational Linguistics, 2013 Eneko Agirre +2 more
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Challenges and Practical Approaches with Word Sense Disambiguation of Acronyms and Abbreviations in the Clinical Domain [PDF]
Healthc Inform Res, 2015 Sungrim Moon +2 more
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Recent Trends in Word Sense Disambiguation: A Survey
International Joint Conference on Artificial Intelligence, 2021 Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word in context by identifying the most suitable meaning from a predefined sense inventory.
Michele Bevilacqua +3 more
semanticscholar +1 more source