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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Внедрение в TXM дополнительных инструментов автоматической обработки текста

С. 55–62.
Лаврентьев А. М., Соловьев Ф. Н., Chepovskiy A.
Language: Russian
Full text
Keywords: глагольное управлениеstemmingautomated text analysisTXM platformnoun phrasesverbal dependenciesплатформа TXMпсевдоосновыименные группыавтоматический анализ текстов

In book

Труды международной конференции "Корпусная лингвистика - 2019"
СПб.: Издательство Санкт-Петербургского университета, 2019.
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The applicability of the previously developed methodology for frequency analysis of various linguistic characteristics in Russian-language texts has been demonstrated for the translation of poetic texts. This methodology enables the comparison of different texts and the identification of distinguishing features for the identification of texts in natural language, using pairwise rank correlation coefficients of frequency ...
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The impact of innovation news coverage on illiquid stocks: the case of US market
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The purpose of this study is to determine stock market reactions to the news about innovations and other types of publications for illiquid stocks. Design/methodology/approach (1) The authors opt for machine learning techniques and expert analysis and propose their own lexicon of innovations based on the news articles published on the professional website; (2) the dataset consists ...
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АНАЛИЗ КОРПУСА ПОЭТИЧЕСКИХ ТЕКСТОВ НА ПЛАТФОРМЕ TXM
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