Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Andrey Sysoev"'
Autor:
Anton Korshunov, Ivan Beloborodov, Nazar Buzun, Valeriy Avanesov, Roman Pastukhov, Kyrylo Chykhradze, Ilya Kozlov, Andrey Gomzin, Ivan Andrianov, Andrey Sysoev, Stepan Ipatov, Ilya Filonenko, Christina Chuprina, Denis Turdakov, Sergey Kuznetsov
Publikováno v:
Труды Института системного программирования РАН, Vol 26, Iss 1, Pp 439-456 (2018)
The paper describes the basic components of ISPRAS technology stack for social network data analysis. Particular attention is given to tasks, methods, and applications of network (social connections between users) and textual (user messages and profi
Externí odkaz:
https://doaj.org/article/fbc2801018f14a0f8aec885eb03d9bfe
Autor:
Denis Turdakov, Nikita Astrakhantsev, Yaroslav Nedumov, Andrey Sysoev, Ivan Andrianov, Vladimir Mayorov, Denis Fedorenko, Anton Korshunov, Sergey Kuznetsov
Publikováno v:
Труды Института системного программирования РАН, Vol 26, Iss 1, Pp 421-438 (2018)
The paper presents a framework for fast text analytics developed during the Texterra project. Texterra delivers a scalable solution for text processing based on novel methods that exploit knowledge extracted from the Web and text documents. This pape
Externí odkaz:
https://doaj.org/article/896ea596d31d49b0b5d929ca8ac3de85
Autor:
Andrey Sysoev, Igor Katanov
Publikováno v:
Vestnik of Kuzbass State Technical University. :24-30
Autor:
Andrey Sysoev, Irina Nikishina
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030373337
AIST
AIST
Over the past few years there has been a leap forward in both Entity Disambiguation and Entity Linking tasks. Meanwhile, Entity Disambiguation for Russian still lags behind advanced neural approaches developed for other languages. This paper introduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fdaf825d0783ca606da75f095fa6291
https://doi.org/10.1007/978-3-030-37334-4_21
https://doi.org/10.1007/978-3-030-37334-4_21
Autor:
Oleg I. Klychnikov, Jake L. R. Smith, Oliver W. Bayfield, Dorothy E. D. P. Hawkins, Andrey Sysoev, Kristina V. Tugaeva, Alfred A. Antson, Nikolai N. Sluchanko, De Sheng Ker
Publikováno v:
Journal of Molecular Biology
The coronavirus nucleocapsid protein (N) controls viral genome packaging and contains numerous phosphorylation sites located within unstructured regions. Binding of phosphorylated SARS-CoV N to the host 14-3-3 protein in the cytoplasm was reported to
Autor:
Ludmila Papusha, Alexander Druy, Andrey Sysoev, Alexander Karachunsky, Galina Novichkova, Ekaterina Salnikova, Ludmila Yasko, Alexey Nechesnyuk, Irina Borodina, Artur Merishavyan, Irina Vilesova
Publikováno v:
Neuro-Oncology
BACKGROUND/OBJECTIVES Relapse of medulloblastoma (MB) is highly lethal in previously irradiated patients. As one of therapeutic options for recurrence MB, high-dose chemotherapy with stem cell rescue (HDSCR) is suggested. The aim of our work was to e
Autor:
Andrey Sysoev, Irina Nikishina
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030012038
Wikification is a crucial NLP task that aims to identify entities in text and disambiguate their meaning. Being partially solved for English, the problem still remains fairly untouched for Russian. In this article we present a novel approach to Disam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e25968a33d77f847e890ab7617759057
https://doi.org/10.1007/978-3-030-01204-5_2
https://doi.org/10.1007/978-3-030-01204-5_2
Autor:
Alexandra Khadzhiiskaia, Andrey Sysoev
Publikováno v:
2017 Ivannikov ISPRAS Open Conference (ISPRAS).
Coreference resolution is targeted at collecting all mentions of an entity within a text into a single cluster. Various approaches for this task have already been proposed but the problem is still challenging. RU-EVAL-2014, an evaluation of anaphora
Autor:
Nikita A. Astrakhantsev, D. G. Fedorenko, Vladimir Mayorov, S. D. Kuznetsov, Ya. R. Nedumov, I. A. Andrianov, Anton Korshunov, D. Yu. Turdakov, Andrey Sysoev
Publikováno v:
Programming and Computer Software. 40:288-295
A framework for fast text analysis, which is developed as a part of the Texterra project, is described. Texterra provides a scalable solution for the fast text processing on the basis of novel methods that exploit knowledge extracted from the Web and
Autor:
Denis Turdakov, Nikita Astrakhantsev, Yaroslav Nedumov, Andrey Sysoev, Ivan Andrianov, Vladimir Mayorov, Denis Fedorenko, Anton Korshunov, Sergey Kuznetsov
Publikováno v:
Труды Института системного программирования РАН, Vol 26, Iss 1, Pp 421-438 (2018)
The paper presents a framework for fast text analytics developed during the Texterra project. Texterra delivers a scalable solution for text processing based on novel methods that exploit knowledge extracted from the Web and text documents. This pape