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

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May 25, 2026

HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors

Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

May 25, 2026

'The Humanities Serve as a Conscience'

Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.

May 25, 2026

Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?

Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

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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