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  • Проект Chekhov Digital: задачи и проблемы реализации семантической разметки текстов (на примере рассказа А. П. Чехова «Смерть чиновника»)
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News
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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Проект Chekhov Digital: задачи и проблемы реализации семантической разметки текстов (на примере рассказа А. П. Чехова «Смерть чиновника»)

Litera. 2023. № 10. С. 211–222.
Северина Е. М., Ларионова М. Ч.

The article considers a model of preparation of machine-readable (semantic) markup of texts for the Chekhov Digital project on the example of philological interpretation of individual significant elements of A. P. Chekhov's story "Death of an Official" and presentation of this information explicitly based on the standards of digital publication Text Encoding Initiative (TEI/XML). Based on the work of literary researchers, significant entities have been identified for marking up the corpus of the writer's texts, but the question of their representation in the text remains quite complex. A philological examination of such aspects as "properties, states and events; character features" in an excerpt from the story of A.P. Chekhov was carried out from the point of view of the TEI markup capabilities for preserving philological knowledge in a machine-readable format. One of the objectives of the Chekhov Digital project is to go beyond a simple digitized text and provide useful digital tools for the researcher. The elements of machine-readable markup are presented, which make it possible to mark up significant entities in Chekhov's texts for organizing semantic search through the corpus of the writer's texts, the problems and research tasks arising in the process of implementing such interdisciplinary projects due to the need to combine the efforts of specialists from different fields of knowledge are considered. The project implements the principle of Open research data, the most important task of which is to create scientific communities around data. The work on the project led to the development of scientific cooperation between researchers of the Higher School of Economics, the UNC RAS and the SFU.

Research target: Philology and Linguistics
Language: Russian
DOI
Text on another site
Keywords: natural language processing семантический поискавтоматическая обработка текстаsemantic searchэкспертная разметка текстовTEITEI A.P. ChekhovА.П. Чеховdigital editionцифровое изданиеChekhov DigitalChekhov Digitalphilological expertisemachine-readable markupexpert annotationauthor's technologiesфилологическая экспертизамашиночитаемая разметкатехнологии автора
Publication based on the results of:
Конвергенция языковых пластов русского языка в зеркале цифровых решений (2023)
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