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dc.contributor.authorSboev, A. G.-
dc.contributor.authorGryaznov, A. V.-
dc.date.accessioned2025-06-03T09:26:16Z-
dc.date.available2025-06-03T09:26:16Z-
dc.date.issued2024-
dc.identifier.citationSboev, A.G. Combining the tasks of entity linking and relation extraction using a unified neural network model / A.G. Sboev, A.V. Gryaznov // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2024. - Т.10, №4.-C. 94-105.ru
dc.identifier.urihttp://dspace.bsuedu.ru/handle/123456789/65241-
dc.description.abstractIn this paper we describe methods for training neural network models for extracting pharmacologically significant entities from natural language texts with their further transformation into a formalized form of thesauruses and specialized dictionaries, as well as establishing relations between themru
dc.language.isoenru
dc.subjectlinguisticsru
dc.subjectcomputational linguisticsru
dc.subjectLLMru
dc.subjectpharmru
dc.subjectentity recognitionru
dc.subjectrelation extractionru
dc.subjectmedical concept normalizationru
dc.subjectentity disambiguationru
dc.titleCombining the tasks of entity linking and relation extraction using a unified neural network modelru
dc.title.alternativeКомбинирование задач связывания сущностей и извлечения отношений с использованием объединённой нейросетевой моделиru
dc.typeArticleru
Appears in Collections:Т. 10, вып. 4

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