Publication:
The Two-Stage Algorithm for Extraction of the Significant Pharmaceutical Named Entities and Their Relations in the Russian-Language Reviews on Medications on Base of the XLM-RoBERTa Language Model

Дата
2022
Авторы
Moloshnikov, I.
Selivanov, A.
Rylkov, G.
Rybka, R.
Sboev, A.
Journal Title
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Научные группы
Организационные подразделения
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Организационная единица
Институт ядерной физики и технологий
Цель ИЯФиТ и стратегия развития - создание и развитие научно-образовательного центра мирового уровня в области ядерной физики и технологий, радиационного материаловедения, физики элементарных частиц, астрофизики и космофизики.
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Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The Internet contains a large amount of heterogeneous information, the extraction and structuring of which is currently a relevant task. This is especially relevant for tasks of social importance, in particular the analysis of the experience of using pharmaceutical products. In this paper, we propose a two-step sequential algorithm for extracting named entities and the relationships between them. Its creation was made possible by the availability of a marked-up corpus of Internet users’ reviews of medicines (Russian Drug Review Corpus). The basis of the algorithm is the language model XLM-RoBERTa-sag, which is pre-trained on a large corpus of unlabeled texts of reviews. The developed algorithm achieves the accuracy of identifying related entities: 71.6 and relations: 80.5, which is the first estimate of the accuracy of the solution of the considered problem on the Russian-language drug review texts.
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Цитирование
The Two-Stage Algorithm for Extraction of the Significant Pharmaceutical Named Entities and Their Relations in the Russian-Language Reviews on Medications on Base of the XLM-RoBERTa Language Model / Moloshnikov, I. [et al.] // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 463-471. - 10.1007/978-3-030-96993-6_51
URI
https://www.doi.org/10.1007/978-3-030-96993-6_51
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85127627366&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200051
 https://openrepository.mephi.ru/handle/123456789/28967
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