• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Modeling of Process Dynamics by Sequence of Homogenous Semantic Networks on the Base of Text Corpus Sequence Analysis
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2028
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
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.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Modeling of Process Dynamics by Sequence of Homogenous Semantic Networks on the Base of Text Corpus Sequence Analysis

P. 300–314.
Kharlamov A. A., Yermolenko T., Zhonin A.

The paper describes an approach to modeling of process dynamics based on the technology of automatic semantic analysis of textual information. During processing of text an associative network is generated, the key concepts of which, including lexical markers of the analyzed process, are ranked by their semantic weight. Defined by the marker status on the “good-bad” scale, this weight provides the marker value for characterization of the process state. It is changes in the normalized characteristic of the process combined for all markers from time sample to time sample that characterize the process trend.

Language: English
Text on another site
Keywords: automatic text processingassociative (homogeneous semantic) networkmodeling of process dynamicslexical markers

In book

Speech and Computer 16-th International Conference, SPECOM 2014 LNAI 9773
NY: Springer, 2014.
Similar publications
Анализ ошибок морфологического анализатора MyStem при работе с записями детской речи
Lelik V., Eremicheva T., Morozova D. et al., В кн.: Когнитивная наука в Москве: новые исследования. Материалы конференции 21–22 июня 2023 г.: М.: «Буки Веди», Московский институт психоанализа, 2023. С. 274–279.
Some of the important conditions of the effectiveness of morphological analyzers are the correct recognition of unfamiliar words and successful morphological disambiguation. In this work, we evaluated the results of automatic processing of children’s spontaneous speech using the morphological analyzer MyStem. We analyzed the longitudinal spontaneous speech recordings of two bilingual children and their parents ...
Added: April 5, 2024
Обзор методов оценки сложности текстов в сфере регулирования банковской деятельности
Morkovkin A., Ilvovsky D., В кн.: ИТиС 2022: Сборник трудов 46-й междисциплинарной школы-конференции ИППИ РАН "Информационные технологии и системы 2022".: Институт проблем передачи информации им. А.А. Харкевича РАН, 2022.
The estimation of textual complexity is an important and relevant task in the field of natural language processing. For example, in the banking sector, according to experts, there is a trend towards increasing the complexity of texts in all areas of financial regulation, which makes them difficult to understand even by professionals. This can lead ...
Added: September 23, 2023
A Data Analysis Tool for the Corpus of Russian Poetry
Lyashevskaya O., Vlasova E., Litvintseva K. et al., / NRU HSE. Series WP BRP "Linguistics". 2018. No. 77.
A data analysis tool of the Corpus of Russian Poetry (a part of the Russian National Corpus) is designed for quantitative research in various areas of versology and linguistics aspects of poetic texts. The core part, a statistic database of the corpus, includes annotation at the level of texts, verses, words as well as patterns ...
Added: December 13, 2018
Система автоматического аннотирования текстов с помощью стохастической модели
Voznesenskaya T., Леднов Д. А., Машинное обучение и анализ данных 2018 Т. 4 № 4 С. 266–279
This paper is toward the system of automatic text summarization developed by «DC – Systems» company in cooperation with the faculty of computer science at HSE. The summary is a concise description of the text in terms of its content and meaning, i.e. from the point of view of its semantics. The purpose of the ...
Added: October 5, 2018
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit