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October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Language Exercise Generation: Emulating Cambridge Open Cloze

International Journal of Conceptual Structures and Smart Applications (IJCSSA). 2014. Vol. 2. No. 2. P. 20–35.
Malafeev A.

This article presents an approach to the automatic generation of open cloze exercises based on arbitrary English text. The exercise format is similar to the open cloze test used in Cambridge English certificate exams (FCE, CAE, CPE). The presented method also makes it possible to adjust the difficulty of the resulting exercises to better suit specific proficiency levels. Three experiments were conducted to evaluate the usefulness of the machine-generated exercises, compare them with authentic Cambridge English tests and study the difficulty-setting capabilities. The experiments showed that the generation method used was quite effective. With some customization, the method can be applied to generating similar exercises for other languages.

Research target: Philology and Linguistics Education Computer Science
Priority areas: IT and mathematics
Language: English
Full text
DOI
Text on another site
Keywords: natural language processingпреподавание английского языкаавтоматическая обработка естественного языкаавтоматическая обработка текстаавтоматическое создание упражненийтесты open clozeopen clozecomputer-assisted language learningCALLEnglish as a foreign languageEFLlanguage exercise generationadjusting exercise difficultyизучение иностранных языков с помощью компьютераанглийский язык как иностранныйрегулировка сложности упражнений
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