Zobrazeno 1 - 9
of 9
pro vyhledávání: '"извлечение терминологии"'
Autor:
Мария Игоревна Ладушина
Publikováno v:
Journal of Applied Linguistics and Lexicography, Vol 4, Iss 2 (2022)
Современные средства компьютерной обработки текста позволили автоматизировать многие рутинные задачи лексикографов и терминологов. П
Externí odkaz:
https://doaj.org/article/d1bedd7a5d844453a6e5004db35700ae
Autor:
N. Astrakhantsev
Publikováno v:
Труды Института системного программирования РАН, Vol 26, Iss 4, Pp 7-20 (2018)
Automatic term acquisition is an important task for many applications related to domain-specific texts processing. At present there are many methods for automatic term acquisition, but they are highly dependent on language and domain of input text co
Externí odkaz:
https://doaj.org/article/9ed66a9963eb4a31b27860aea8790a66
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
Publikováno v:
Труды Института системного программирования РАН, Vol 29, Iss 2, Pp 161-200 (2018)
Text documents clustering is used in many applications such as information retrieval, exploratory search, spam detection. This problem is the subject of many scientific papers, but the specificity of scientific articles in regards to the clustering e
Externí odkaz:
https://doaj.org/article/490a21212ab74605a81fa1d32e08bf33
Publikováno v:
Труды Института системного программирования РАН, Vol 29, Iss 2, Pp 161-200 (2018)
Text documents clustering is used in many applications such as information retrieval, exploratory search, spam detection. This problem is the subject of many scientific papers, but the specificity of scientific articles in regards to the clustering e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be90101a98ed49335f3636351557dce0
https://doi.org/10.15514/ispras-2017-29(2)-6
https://doi.org/10.15514/ispras-2017-29(2)-6
Autor:
N. Astrakhantsev
Publikováno v:
Труды Института системного программирования РАН, Vol 26, Iss 4, Pp 7-20 (2018)
Automatic term acquisition is an important task for many applications related to domain-specific texts processing. At present there are many methods for automatic term acquisition, but they are highly dependent on language and domain of input text co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f1e2e9983f0da18f5bfd8516195f50
https://doi.org/10.15514/ispras-2014-26(4)-1
https://doi.org/10.15514/ispras-2014-26(4)-1
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bd8df2f90497c69bed170ad8b11a1e
https://doi.org/10.15514/ispras-2014-26(1)-18
https://doi.org/10.15514/ispras-2014-26(1)-18
Publikováno v:
Труды Института системного программирования РАН.
В статье описан проект Texterra, в рамках которого была создана инфраструктура для анализа текстов. Texterra предоставляет масштабируемое реше
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2806::a852759d15fb4c4578735b74304f34ba
http://cyberleninka.ru/article/n/texterra-infrastruktura-dlya-analiza-tekstov
http://cyberleninka.ru/article/n/texterra-infrastruktura-dlya-analiza-tekstov
Publikováno v:
Труды Института системного программирования РАН.
Автоматическое извлечение терминов является важной задачей во многих приложениях, связанных с обработкой текстов предметной области.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2806::c2a85a9bba40539c28176d01f8350b01
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http://cyberleninka.ru/article_covers/15670382.png
