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Электронный каталог: Ilina, A. - Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services
Ilina, A. - Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services

Статья
Автор: Ilina, A.
Физика элементарных частиц и атомного ядра. Письма: Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services : Abstract
б.г.
ISBN отсутствует
Автор: Ilina, A.
Физика элементарных частиц и атомного ядра. Письма: Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services : Abstract
б.г.
ISBN отсутствует
Статья
Ilina, A.
Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services : Abstract / A.Ilina // Физика элементарных частиц и атомного ядра. Письма. – 2025. – Т. 22, № 5. – P. 985. – URL: https://www1.jinr.ru/Pepan_letters/panl_2025_5/20_Ilina_ann.pdf.
Efficient extraction of named entities is essential for data analysis, especially given the increasing volume of textual information. This study examines and compares methods for extracting named entities within text-processing algorithm for excursion data, offering statistical insights into events described in natural language texts, which include brief information about the excursion name and its target audience. The practical results highlight the applicability of these methods in supporting and enhancing JINR’s internal services, particularly the JINRex system for excursion planning and management.
Спец.(статьи,препринты) = Ц 84 а2 - Многомашинные комплексы вычислительных средств. Вычислительные системы и сети. Параллельные вычисления. Квантовые компьютеры
ОИЯИ = ОИЯИ (JINR)2025
Ilina, A.
Practical Comparative Analysis of Named Entity Recognition Methods for JINR Digital Services : Abstract / A.Ilina // Физика элементарных частиц и атомного ядра. Письма. – 2025. – Т. 22, № 5. – P. 985. – URL: https://www1.jinr.ru/Pepan_letters/panl_2025_5/20_Ilina_ann.pdf.
Efficient extraction of named entities is essential for data analysis, especially given the increasing volume of textual information. This study examines and compares methods for extracting named entities within text-processing algorithm for excursion data, offering statistical insights into events described in natural language texts, which include brief information about the excursion name and its target audience. The practical results highlight the applicability of these methods in supporting and enhancing JINR’s internal services, particularly the JINRex system for excursion planning and management.
Спец.(статьи,препринты) = Ц 84 а2 - Многомашинные комплексы вычислительных средств. Вычислительные системы и сети. Параллельные вычисления. Квантовые компьютеры
ОИЯИ = ОИЯИ (JINR)2025
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