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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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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.
Similar publications
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
Hladky D., , in: Semantic Web.: InTech, 2010. Ch. 4 P. 63–76.
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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