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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/65241
Title: Combining the tasks of entity linking and relation extraction using a unified neural network model
Other Titles: Комбинирование задач связывания сущностей и извлечения отношений с использованием объединённой нейросетевой модели
Authors: Sboev, A. G.
Gryaznov, A. V.
Keywords: linguistics
computational linguistics
LLM
pharm
entity recognition
relation extraction
medical concept normalization
entity disambiguation
Issue Date: 2024
Citation: Sboev, 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.
Abstract: In 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 them
URI: http://dspace.bsuedu.ru/handle/123456789/65241
Appears in Collections:Т. 10, вып. 4

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