Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anastasiia Kolesnyk"'
Publikováno v:
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, Iss 1 (5), Pp 86-90 (2021)
З кожним днем обсяг потоків новинних даних зростає, що збільшує інтерес до систем, які дозволяють автоматизувати обробку великих потокі
Externí odkaz:
https://doaj.org/article/10a14e2ed4974bf096f0e11e0f2d06fe
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
Open Information Extraction (OIE) is a modern strategy to extract the triplet of facts from Web-document collections. However, most part of the current OIE approaches is based on NLP techniques such as POS tagging and dependency parsing, which tools
Externí odkaz:
https://doaj.org/article/477f5ac37b7047ec861acbdef672ca9c
Publikováno v:
Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies. :86-90
Currently, the volume of news data streams is growing that contributes to increasing interest in systems that allow automating the big data streams processing. Based on intelligent data processing tools, the semantic similarity identification of text
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
Open Information Extraction (OIE) is a modern strategy to extract the triplet of facts from Web-document collections. However, most part of the current OIE approaches is based on NLP techniques such as POS tagging and dependency parsing, which tools
Publikováno v:
Scopus-Elsevier
Nowadays, the development of high-quality parallel aligned text corpora is one of the most relevant and advanced directions of modern linguistics. Special emphasis is placed in creating parallel multilingual corpora for low resourced languages, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1d26e01e646e4838d5dc4ad53400a306
http://repository.kpi.kharkov.ua/handle/KhPI-Press/49827
http://repository.kpi.kharkov.ua/handle/KhPI-Press/49827
Publikováno v:
ICEIS (1)
Scopus-Elsevier
Scopus-Elsevier
Currently, businesses increasingly use various external big data sources for extracting and integrating information into their own enterprise information systems to make correct economic decisions, to understand customer needs, and to predict risks.
Publikováno v:
Scopus-Elsevier
Generally, to define the belonging of a text to a specific theme or domain, we can use approaches to text classification. However, the task becomes more complicated when there is no train corpus, in which the set of classes and the set of documents b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::990ba3a8b3ae3f22ff99f7460d977be0
http://www.scopus.com/inward/record.url?eid=2-s2.0-85085159506&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85085159506&partnerID=MN8TOARS