Analysis of the methods of word sense disambiguation in the biomedical domain

A method for resolving the lexical ambiguity of biomedical terms has been proposed. The method is based on a comparison of «word bags» obtained from the context, definitions and information on related terms from the UMLS metathesaurus [1]. Modification of the method using the analysis of word import...

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Main Authors:	A. V. Pashuk, A. B. Gurinovich, N. A. Volorova, A. P. Kuznetsov
Format:	Article
Language:	Russian
Published:	Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-07-01
Series:	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:	machine learning natural language processing word sense disambiguation information retrieval
Online Access:	https://doklady.bsuir.by/jour/article/view/1152

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spelling	doaj-d10f2035e1834b26bc2047b270a1d20c2021-07-28T16:19:57ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-07-0105606510.35596/1729-7648-2019-123-5-60-651151Analysis of the methods of word sense disambiguation in the biomedical domainA. V. Pashuk0A. B. Gurinovich1N. A. Volorova2A. P. Kuznetsov3Belarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsA method for resolving the lexical ambiguity of biomedical terms has been proposed. The method is based on a comparison of «word bags» obtained from the context, definitions and information on related terms from the UMLS metathesaurus [1]. Modification of the method using the analysis of word importance using the statistical measure TF-IDF has been proposed. Experimental verification of the method has been performed on the open test MSH WSD data set [2], developed to support research in the field of lexical resolution.https://doklady.bsuir.by/jour/article/view/1152machine learningnatural language processingword sense disambiguationinformation retrieval
collection	DOAJ
language	Russian
format	Article
sources	DOAJ
author	A. V. Pashuk A. B. Gurinovich N. A. Volorova A. P. Kuznetsov
spellingShingle	A. V. Pashuk A. B. Gurinovich N. A. Volorova A. P. Kuznetsov Analysis of the methods of word sense disambiguation in the biomedical domain Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki machine learning natural language processing word sense disambiguation information retrieval
author_facet	A. V. Pashuk A. B. Gurinovich N. A. Volorova A. P. Kuznetsov
author_sort	A. V. Pashuk
title	Analysis of the methods of word sense disambiguation in the biomedical domain
title_short	Analysis of the methods of word sense disambiguation in the biomedical domain
title_full	Analysis of the methods of word sense disambiguation in the biomedical domain
title_fullStr	Analysis of the methods of word sense disambiguation in the biomedical domain
title_full_unstemmed	Analysis of the methods of word sense disambiguation in the biomedical domain
title_sort	analysis of the methods of word sense disambiguation in the biomedical domain
publisher	Educational institution «Belarusian State University of Informatics and Radioelectronics»
series	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn	1729-7648
publishDate	2019-07-01
description	A method for resolving the lexical ambiguity of biomedical terms has been proposed. The method is based on a comparison of «word bags» obtained from the context, definitions and information on related terms from the UMLS metathesaurus [1]. Modification of the method using the analysis of word importance using the statistical measure TF-IDF has been proposed. Experimental verification of the method has been performed on the open test MSH WSD data set [2], developed to support research in the field of lexical resolution.
topic	machine learning natural language processing word sense disambiguation information retrieval
url	https://doklady.bsuir.by/jour/article/view/1152
work_keys_str_mv	AT avpashuk analysisofthemethodsofwordsensedisambiguationinthebiomedicaldomain AT abgurinovich analysisofthemethodsofwordsensedisambiguationinthebiomedicaldomain AT navolorova analysisofthemethodsofwordsensedisambiguationinthebiomedicaldomain AT apkuznetsov analysisofthemethodsofwordsensedisambiguationinthebiomedicaldomain
_version_	1721267671468605440

Analysis of the methods of word sense disambiguation in the biomedical domain

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