kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университетkaz29-210Research ArticleФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИPHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCESСЕМАНТИЧЕСКАЯ РОЛЕВАЯ МАРКИРОВКА ДЛЯ КЛИНИЧЕСКОГО ТЕКСТА НА КАЗАХСКОМ ЯЗЫКЕSEMANTIC ROLE MARKING FOR CLINICAL TEXT IN KAZAKHДжаксылыковаА. Б.JaksylykovaA. B.

докторант

ЗияденА. А.ZiyadenA. A.

магистрант

РахымбекулыЖ.RahimbekulyZh.

магистрант

КалиеваА.KaliyevaA.

заведующая

КомадаП.KomadaP.

факультет электротехники и информатики

Казахский Национальный университет им. аль-ФарабиКазахстанАО «КБТУ»КазахстанКГКП «Региональная инфекционная больница г. Талдыкорган»КазахстанТехнический университет «Люблинская политехника»Польша201910112021164111116Copyright © Джаксылыкова А.Б., Зияден А.А., Рахымбекулы Ж., Калиева А., Комада П., 20212021Джаксылыкова А.Б., Зияден А.А., Рахымбекулы Ж., Калиева А., Комада П.Jaksylykova A.B., Ziyaden A.A., Rahimbekuly Z., Kaliyeva A., Komada P.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/210

Маркировка семантических ролей (SemanticRoleLabeling, SLR) извлекает поверхностное представление смыслов и их отношений из различных текстов, семантический слой важен для понимания естественного языка. Исследований в маркировке семантических ролей в области медицины было проведено мало, в основном, из-за отсутствия аннотированных клинических корпусов, особенно на русском языке. Целью настоящей работы является разработка каркаса маркировки семантических ролей для клинических заметок с  использованием корпуса, созданного практикующими врачами клиницистами, для повышения производительности и экономии затрат, а также повышения качества предиктивной медицины. Материалы и методы: в качестве набора данных целевого домена использовалась обезличенная база данных, собранная на основе клинической практики, в частности, по болезням желудочно-кишечного тракта, сердечно сосудистой системы и других. Записи были вручную проанализированы и помечены. Представлен каркас семантической разметки и приведен разбор применимости семантических ролей и их отношений относительно реальных клинических случаев.

Semantic role labeling (SLR) extracts a superficial representation of meanings and their relationships from various texts, the semantic layer is important for understanding natural language. Few studies in the labeling of semantic roles have been conducted in the field of medicine, mainly due to the lack of annotated clinical buildings, especially in Russian. The aim of this work is to develop a framework for marking semantic roles for clinical notes using the corps created by practicing clinicians to increase productivity and save costs, as well as improve the quality of predictive medicine. Materials and methods: an anonymous database, collected on the basis of clinical practice, in particular, diseases of the gastrointestinal tract, cardiovascular system and others, was used as a data set of the target domain. Records were manually analyzed and tagged. The framework of semantic markup is presented and the analysis of the applicability of semantic roles and their relationships with respect to real clinical cases is given.

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The authors declare that there are no conflicts of interest present.