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Subject
News
July 13, 2026
Biologists Discover Unique Properties of MiR-93-5p MicroRNA in Prostate Cancer
Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.
July 13, 2026
'My Goal Is to Become a Tenured Professor'
Mikhail Samatov focuses on the theoretical study of perovskite solar cells. In this interview for the HSE Young Scientists project, he talks about working on HSE University’s supercomputer, collaborating with Peking University, and making furniture.
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.

 

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?

К моделированию языковой деятельности в справочно-информационных системах

С. 600–612.
Соколова Е. Г., Сосенская Т. Б., Toldova S., Федорова О., Шаров С.
Language: Russian
Keywords: автоматизированная информационная системаinformation extraction

In book

Типология и теория языка: от описания к объяснению
М.: Языки русской культуры, 1999.
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An approach to automatic extraction of terms from an individual scientific text is reported, which combines known methods: linguistic patterns, statistical terminological measures, methods of graph ranking. The combined methods and stages for extracting, selection and ranking of terms are described, which are implemented for processing documents in Russian. The results of experiments on extracting ...
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В учебнике рассматриваются наиболее востребованные в бизнесе системы, обеспечивающие возможность коллективной работы пользователей, объединенных едиными бизнес-процессами, целями и задачами производственной деятельности.  Книга содержит подробное описание систем различных классов, особенностей их применения и внедрения в деятельность предприятий. Приведены сведения о состоянии рынка таких систем в России, а также даны описания наиболее популярных систем в каждом классе.  В ...
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Semantic information has been deemed a valuable resource for solving the task of coreference resolution by many researchers. Unfortunately, not much has been done in the direction of using this data when working with Russian data. This work describes the first step of a research, attempting to create a coreference resolution system for Russian based on semantic data, concerned with ...
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В статье рассматривается комплекс факторов качества автоматизированных информационных систем, которые влияют на решение по архитектуре и дизайну программной системы. Выделены и описаны факторы качества, значимые для данного класса программных систем и оказывающие влияние на формулирование функциональных требований и направление разработки. ...
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Starostin A. S., Bocharov V. V., Alexeeva S. V. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.)Вып. 15.: М.: Изд-во РГГУ, 2016. P. 688–705.
In this paper, we describe the rules and results of the FactRuEval informa- tion extraction competition held in 2016 as part of the Dialogue Evaluation initiative in the run-up to Dialogue 2016. The systems were to extract in- formation from Russian texts and competed in two named entity extraction tracks and one fact extraction track. ...
Added: October 7, 2016
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This paper presents a rule-based approach to Information Extraction (IE) task within FactRuEval-2016 competition. Our system is based on ABBYY Compreno Technology. The technology uses the results of deep syntactic-semantic analysis, which leads to significant reduction of the number of necessary rules and makes them laconic. The evaluation was conducted on FactRuEval dataset. FactRuEval is ...
Added: August 28, 2016
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