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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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Когнитивный термин «фрейм»: создание словарной статьи на базе специализированного текстового корпуса

Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2022. Т. 20. № 4. С. 17–34.
Khomenko A., Куликова В. А., Babiy A., Казюлина М. С.

The study is devoted to the testing of a specialized texts corpus on the example of a group of cognitive linguistics terms with the hypernym frame. The corpus includes a subcorpus of scientific texts and a subcorpus of journalistic texts. The first one is represented by 15 journals indexed in the RSCI; the second one is represented by 10 significant Russian media. The collected texts were lemmatized and tokenized, as well as automatically marked up using the Universal Dependencies standard. The corpus is used for creation a cognitive linguistics terms educational dictionary. This lexicographic source includes 60 relevant terms that are important in the process of mastering university disciplines within the cognitive sciences. The novelty of the approach is connected with the thesaurus-encyclopedic type of the dictionary, which allows to describe the word both as a term (a minimal component of scientific knowledge) and as a unit of a scientific text in its various collocations and ontological relations (synonymy, quasi-synonymy, class-subclass; polysemy, etc.). The basis for describing the systemic relations of terms is corpus statistics: analysis of concordances, collocations, n-grams. The results of using a specialized texts corpus are presented on the example of a terminological field with the dominant “frame”. With the help of concordance lists, contexts of term usage are revealed, its derivational relations are established. The semantic and grammatical relationships of the term are characterized throughout n-grams analysis. Synonyms, hyponyms, hyperonyms of the term are described based on the study of collocations. The Dashinimaeva-Wang hypothesis about the links between the terms concept, frame, gestalt, image was also tested. The semantic transformations of the scientific term in the media discourse were briefly characterized. The systemic relations of terms identified on the basis of corpus statistics are also confirmed by the method of interpretative analysis of contexts obtained from concordance lists. The data of automatically selected associative measures also largely agree with the results of the associative experiment carried out in the framework of the study.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Keywords: когнитивная лингвистикалексикографиятерминологиякорпусная лингвистикаcorpus linguisticslexicographyterminologyCognitive Linguisticsspecial corpusспециальный корпус
Publication based on the results of:
Проект учебного словаря-справочника терминов когнитивной лингвистики (2022)
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