Results 21 to 30 of about 29,472 (315)
Word Sense Induction for Russian Texts Using BERT [PDF]
Proceedings of the XXth Conference of Open Innovations Association FRUCT, 2021 This article considers an unsupervised approach called word sense induction for resolving word sense disambiguation in the natural languages. The resolution of word sense disambiguation is one of the most important tasks in the natural text processing ...
Aleksandr Slapoguzov +2 more
doaj +1 more source
Research on Unsupervised Word Sense Disambiguation [PDF]
Journal of Software, 2009 Ruiqin Wang, Fansheng Kong
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Word Sense Disambiguation Using Clustered Sense Labels
Applied Sciences, 2022 Sequence labeling models for word sense disambiguation have proven highly effective when the sense vocabulary is compressed based on the thesaurus hierarchy.
Jeong Yeon Park +2 more
doaj +1 more source
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
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Effect of forename string on author name disambiguation [PDF]
Journal of the Association for Information Science and Technology,
71(7), 839-855 (2020), 2021 In author name disambiguation, author forenames are used to decide which name instances are disambiguated together and how much they are likely to refer to the same author. Despite such a crucial role of forenames, their effect on the performances of heuristic (string matching) and algorithmic disambiguation is not well understood.
arxiv +1 more source
Clinical Pharmacology &Therapeutics, Volume 113, Issue 2, Page 423-434, February 2023., 2023 This study evaluated drug–drug interactions (DDIs) between antibiotic and nonantibiotic drugs listed with warnings of severe outcomes in the British National Formulary based on adverse drug reaction (ADR) detectable with routine International Classification of Diseases, Tenth Revision coding.
Tjeerd Pieter van Staa +4 more
wiley +1 more source
Determining the difficulty of Word Sense Disambiguation [PDF]
Journal of Biomedical Informatics, 2014 Automatic processing of biomedical documents is made difficult by the fact that many of the terms they contain are ambiguous. Word Sense Disambiguation (WSD) systems attempt to resolve these ambiguities and identify the correct meaning. However, the published literature on WSD systems for biomedical documents report considerable differences in ...
Mark Stevenson, Bridget T. McInnes
openaire +2 more sources
Mathematical Methods in the Applied Sciences, EarlyView., 2023 Forensic linguistics and stylometry have in the exploration of linguistic patterns one of their fundamental tools. Mathematical structures such as complex multilayer networks and hypergraphs provide remarkable resources to represent and analyze texts.
Ángeles Criado‐Alonso +3 more
wiley +1 more source
SBU-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation [PDF]
International Journal of Web Research, 2022 Word Sense Disambiguation (WSD) is a long standing task in Natural Language Processing (NLP) that aims to automatically identify the most relevant meaning of the words in a given context.
Hossein Rouhizadeh +2 more
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An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 16, Issue 1, Page 65-79, February 2023., 2023 Abstract The increasing impact of Web 2.0 involves a growing usage of slang, abbreviations, and emphasized words, which limit the performance of traditional natural language processing models. The state‐of‐the‐art Part‐of‐Speech (POS) taggers are often unable to assign a meaningful POS tag to all the words in a Web 2.0 text.
Silvia Golia, Paola Zola
wiley +1 more source