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News
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.

 

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Диалоговая система для сопровождения человека, страдающего реактивной депрессией. Лингвистический аспект

Глобальный научный потенциал. 2024. Т. 155. № 2. С. 226–231.
Фирсанова В. И., Сиверцев Е. Ю.
In press

The purpose of the article is to give recommendations for creating a dialogue system that can be connected to any electronic device (personal computer, smartphone) and should always be at the disposal of a person suffering from reactive depression. The method of distributive semantics is used: searching for the meaning of a word by its surroundings. The result of applying this method is the opportunity provided by computational linguistics to combine an almost unlimited amount of material extracted from the Internet with the ability of modern artificial intelligence to self-learn. The user is in constant communication with a personalized dialogue agent, which is constantly being improved by expanding the knowledge base about the individual characteristics of a person’s character and fine-tuning the neural network algorithm for natural language processing based on this data.

Research target: Philology and Linguistics
Language: Russian
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Keywords: искусственный интеллектпользовательдепрессиядистрибутивная семантикаdepressionдиалоговая системаdistributive semanticsdialogue systems artificial intelligenceself-learning systemuserсамообучающая система
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