Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Dmitry Devyatkin"'
Autor:
Dmitry Devyatkin, Yulia Otmakhova
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10973 (2021)
A vast number of studies are devoted to the short-term forecasting of agricultural production and market. However, those results are more helpful for market traders than producers and agricultural policy regulators because any structural change in th
Externí odkaz:
https://doaj.org/article/2f6138cc3e9740d2ae14fdb67d113b96
Publikováno v:
Procedia Computer Science. 213:196-202
Autor:
Dmitry Devyatkin
Publikováno v:
Economy of Region. 18:569-580
Implementation of a new technological platform in Russia requires providing promising areas of professional qualification with human resources. Post-pandemic structural economic transformation has accelerated changes in the labour market and highligh
Publikováno v:
BICA
The COVID-19 outburst has brought serious demographical, economic, and social impacts. Moreover, in large countries, these consequences can vary from region to region. Therefore, authorities and experts lack the models to predict these various impact
Publikováno v:
Scientific and Technical Information Processing. 47:340-347
In this paper we discuss open information extraction from natural language texts. We present an approach to extraction of semantic relationships using unsupervised machine learning. The presented approach is based on deep clustering methods in which
Autor:
Yulia Otmakhova, Dmitry Devyatkin
Publikováno v:
Lecture Notes in Information Systems and Organisation ISBN: 9783030946166
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83996f6740934b6b9c49718f841c6c78
https://doi.org/10.1007/978-3-030-94617-3_33
https://doi.org/10.1007/978-3-030-94617-3_33
Publikováno v:
Scientific and Technical Information Processing. 46:337-344
This paper provides a study of cognitive structures of scientific texts within the framework of the activity paradigm. We define mental actions as actions that are aimed at constructing new or reconstructing already existing abstract objects. As is t
Publikováno v:
9th International Conference "Distributed Computing and Grid Technologies in Science and Education".
It would be helpful to consider various topic-independent features: syntax, semantics, and discourserelations between text fragments to accurately detect texts containing elements of hatred or enmity.Unfortunately, methods for identifying discourse r
Publikováno v:
2021 Ivannikov Memorial Workshop (IVMEM).
Autor:
V. V. Zhebel, Roman Suvorov, O. G. Grigor’ev, Ilya Tikhomirov, I. A. Sokolov, Dmitry Devyatkin
Publikováno v:
Scientific and Technical Information Processing. 46:14-19
This article considers the task of creating a national system for identifying research and development priorities and suggests a uniform information analysis system as a solution to this problem. A variety of criteria, as determined by the target fun