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:
Online Access:https://doklady.bsuir.by/jour/article/view/1152
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author A. V. Pashuk
A. B. Gurinovich
N. A. Volorova
A. P. Kuznetsov
author_facet A. V. Pashuk
A. B. Gurinovich
N. A. Volorova
A. P. Kuznetsov
author_sort A. V. Pashuk
collection DOAJ
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.
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spelling doaj.art-d10f2035e1834b26bc2047b270a1d20c2023-03-13T07:33:19ZrusEducational 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
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
title 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_short 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
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