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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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.

 

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?

Инструментальные средства для разработки систем извлечения информации из русскоязычных текстов

.
Bolshakova E. I., Efremova N. E., Шариков Г. Ф.
Language: Russian
Keywords: Извлечение информации из текстараспознание языковых выраженийшаблоны языковых конструкцийязык LSPLлингвистические правила

In book

Новые информационные технологии в автоматизированных системах: материалы восемнадцатого научно-технического семинара
М.: Институт прикладной математики им. М.В. Келдыша РАН, 2015.
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Комбинирование методов для извлечения терминов из научно-технического текста
Bolshakova E. I., Семак В. В., Интеллектуальные системы. Теория и приложения 2021 Т. 25 № 4 С. 239–242
An approach to automatic extraction of terms from an individual scientific text is reported, which combines known methods: linguistic patterns, statistical terminological measures, methods of graph ranking. The combined methods and stages for extracting, selection and ranking of terms are described, which are implemented for processing documents in Russian. The results of experiments on extracting ...
Added: November 23, 2023
Система для извлечения информации из текстов на базе лексико-синтаксических шаблонов
Bolshakova E. I., Иванов К. М., Сапин А. С. et al., В кн.: Пятнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2016 (3-7 октября 2016г., г.Смоленск, Россия): Труды конференцииТ. 1.: Смоленск: Универсум, 2016. С. 14–22.
Описывается текущее состояние программной системы с открытым кодом, разработанной и применяемой для построения различных приложений по извлечению информации из текстов на русском языке. Извлекаемая информация специфицируется в виде лексико-синтаксических шаблонов и правил языка LSPL. ...
Added: September 5, 2017
Information Extraction Based on Deep Syntactic-Semantic Analysis
Skorinkin D.A., Budnikov E. A., Stepanova M. E. et al., Компьютерная лингвистика и интеллектуальные технологии 2016 No. 15 P. 721–733
This paper presents a rule-based approach to Information Extraction (IE) task within FactRuEval-2016 competition. Our system is based on ABBYY Compreno Technology. The technology uses the results of deep syntactic-semantic analysis, which leads to significant reduction of the number of necessary rules and makes them laconic. The evaluation was conducted on FactRuEval dataset. FactRuEval is ...
Added: August 28, 2016
Язык лексико-синтаксических шаблонов LSPL: опыт использования и пути развития Программные системы и инструменты
Bolshakova E. I., В кн.: Программные системы и инструменты: тематический сборник.Т. 15.: [б.и.], 2014.
В работе рассматривается опыт использования языка лексико-синтаксических шаблонов LSPL, предназначенного для формального описания лексических и поверхностно-синтаксических свойств языковых конструкций в системах автоматической обработки текстов на русском языке. Кратко характеризуются и сравниваются выразительные возможности языка LSPL и аналогичных языков наиболее известных систем извлечения информации из русскоязычных текстов. Обсуждаются разработанные с помощью LSPL приложения, требующие анализа текстов ...
Added: October 26, 2015
Sustainable Advantage for the Investor Relations Team through Semantic Content
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Semantic web technologies promise to bring companies closer to their customers and deliver to consumers more relevant content than ever before. Two technologies in particular will help build sustainable advantage for the investor relations team. The first is natural language processing and second content enhancement. Intuitively, semantic content should help establish a higher quality of ...
Added: October 19, 2014
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