DC Field | Value | Language |
dc.contributor.author | Sboev, A. G. | - |
dc.contributor.author | Gryaznov, A. V. | - |
dc.date.accessioned | 2025-06-03T09:26:16Z | - |
dc.date.available | 2025-06-03T09:26:16Z | - |
dc.date.issued | 2024 | - |
dc.identifier.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. | ru |
dc.identifier.uri | http://dspace.bsuedu.ru/handle/123456789/65241 | - |
dc.description.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 | ru |
dc.language.iso | en | ru |
dc.subject | linguistics | ru |
dc.subject | computational linguistics | ru |
dc.subject | LLM | ru |
dc.subject | pharm | ru |
dc.subject | entity recognition | ru |
dc.subject | relation extraction | ru |
dc.subject | medical concept normalization | ru |
dc.subject | entity disambiguation | ru |
dc.title | Combining the tasks of entity linking and relation extraction using a unified neural network model | ru |
dc.title.alternative | Комбинирование задач связывания сущностей и извлечения отношений с использованием объединённой нейросетевой модели | ru |
dc.type | Article | ru |
Appears in Collections: | Т. 10, вып. 4
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