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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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.

 

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Discourse Diversity Database (3D) for Clinical Linguistics Research: Design, Development, and Analysis

Bakhtiniana. 2023. Vol. 18. No. 1. P. 30–53.
Khudyakova Mariya, Antonova Natalia, Nelubina Maria, Surova Anastasia, Vorobyova Anna, Minnigulova Alina, Gronskaya Natalia, Yashin K., Medyanik I., Tatiana Shishkovskaya, Ryazanskaya G., Zuev A., Dragoy Olga

Discourse Diversity Database (3D) is a corpus designed for clinical linguistics research. It consists of oral speech samples of three different genres: picture-elicited narratives, personal stories, and picture-based instructions. The sub-sections of 3D include recordings by Russian speakers from three independent groups: people with brain tumors before and after tumor removal, people with schizophrenia, and neurologically healthy individuals. This article is devoted to the description of the data collection, the annotation scheme, and the specific characteristics of each sub-section of the corpus.

Research target: Philology and Linguistics Medical and Health Sciences
Language: English
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DOI
Text on another site
Keywords: corpus linguisticsschizophreniaclinical linguisticsspoken discoursebrain tumorsdiscourse diversity database
Publication based on the results of:
Нарушение связной речи у пациентов с опухолями головного мозга: лингвистический анализ и анатомические корреляты (2020)
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