Network N-gram Model of the Text. Topic Tree of the Text – Minimal Tree Subgraph of the Semantic Network

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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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Network N-gram Model of the Text. Topic Tree of the Text – Minimal Tree Subgraph of the Semantic Network

P. 114–126.

Kharlamov A. A.

Language: English

Text on another site

In book

Neuroinformatics and Semantic Representations: Theory and Applications

Cambridge Scholars Publishing, 2020.

Ассоциативная память – нейросетевая среда для формирования единого пространства знаний

Kharlamov A. A., Информационные технологии 2017 № 1 С. 66–75

Ассоциативная память человека является средой для формирования единого пространства знаний. Рассмотрена обработка текстовой информации как пример процесса обработки человеком информации любой модальности с формированием однородной семантической сети ключевых понятий текста, ранжированных по степени их важности, а также иерархической тематической структуры, характеризующей сложность текста. Результаты текстового анализа наглядно интерпретируются на анализе конкретных текстов с применением аппарата ...

Added: February 20, 2019