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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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К построению инвентаря русских именных конструкций

С. 370–382.
Lyashevskaya O., Mitrofanova O., Grachkova M., Romanov S., Shimorina A., Shurygina A.

The paper presents experimental results on automatic construction identification performed on the Russian National Corpus (RNC). For this purpose we developed a toolbox which allows to extract and process co-occurrence data from RNC samples. Russian nouns are chosen as target words. Lists of constructions were built for each target word. By constructions we mean frequent word combinations which include a target word and frequent lexical-semantic tags – context marker of certain meanings of a target word, as well as frequent lemmas representing the given lexical-semantic tags. E.g.: ВИД (kind, sort, type) + r:abstr t:sport: спорт (sport), футбол (football), биатлон (biathlon), etc. Extracted constructions are grouped according to their structure and lexical-semantic content. In conclusion we perform verification of experimental results which implies comparison of lists of constructions with lists of collocations, idioms, etc. registered in various linguistic resources (bigram search engines, dictionaries).

Language: Russian
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Keywords: русский языкRussianсуществительныеконструкцииconstructionstext corpusnounsкорпус текстовлексико-семантическая разметкаlexical-semantic annotation

In book

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах
Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах
Т. 1: Основная программа конференции. Вып. 11. , М.: Российский государственный гуманитарный университет, 2012.
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