Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Svitlana Petrasova"'
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
Autor:
Svitlana Petrasova, Nina Khairova, Włodzimierz Lewoniewski, Orken Mamyrbayev, Kuralay Mukhsina
Publikováno v:
Data, Vol 3, Iss 4, p 66 (2018)
Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search s
Externí odkaz:
https://doaj.org/article/7ca86828524048eab5bcbb593f20bc47
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34fc7815148dd0bf5deec7115deb6b1c
https://doi.org/10.20998/2079-0023.2021.01.14
https://doi.org/10.20998/2079-0023.2021.01.14
Autor:
Svitlana Petrasova, Nina Khairova
Publikováno v:
2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55b689c9579d7b2a0eaf0eb797bc0d63
https://doi.org/10.1109/csit52700.2021.9648692
https://doi.org/10.1109/csit52700.2021.9648692
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783030419639
ACIIDS (1)
ACIIDS (1)
Nowadays, structured information that obtains from unstructured texts and Web context can be applied as an additional source of knowledge to create ontologies. In order to extract information from a text and represent it in the RDF-triplets format, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4477cfe50e3d0cce630e03c12dc40750
https://doi.org/10.1007/978-3-030-41964-6_8
https://doi.org/10.1007/978-3-030-41964-6_8
Autor:
Svitlana Petrasova, Maria Kuzmina
Publikováno v:
Bulletin of the National Technical University "KhPI". Series: Actual problems of Ukrainian society development. :68-72
The article deals with the method for automatic extraction of collocations from the text corpus of the Ukrainian language. Definitions of the term "collocation" have been considered from the viewpoint of approaches to its analysis in modern corpus li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2a91b5104dfe1d0a5d9aaf6ba4d040
https://doi.org/10.20998/2227-6890.2018.4.12
https://doi.org/10.20998/2227-6890.2018.4.12
Publikováno v:
Bulletin of the National Technical University "KhPI". Series: Actual problems of Ukrainian society development. :114-117
The article deals with the features of tagging Ukrainian corpora. Representing instructions for technical documentation, the corpus of Ukrainian texts is created. The main principles and means of morphology in the Ukrainian language are determined fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02c1e8d0c8b0cf25f7efe767effbe76e
https://doi.org/10.20998/2227-6890.2017.52.20
https://doi.org/10.20998/2227-6890.2017.52.20
Autor:
Nina Khairova, Svitlana Petrasova
Publikováno v:
Cybernetics and Systems Analysis. 53:115-124
A technology is proposed that makes it possible to determine the common information space of actors of social networks by identifying the semantic equivalence of collocations in texts. The technology includes a model of formal description of semantic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c31fd59abd7981030928557275af291
https://doi.org/10.1007/s10559-017-9912-z
https://doi.org/10.1007/s10559-017-9912-z
Publikováno v:
RELATIONS@IWCS
Semantic similarity between collocations, along with words similarity, is one of the main issues of NLP, which must be addressed, in particular, in order to facilitate the automatic thesaurus generation. In the paper, we consider the logical-linguist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a24c89b5dea1b0cce1b151325446274f
https://doi.org/10.18653/v1/w19-0802
https://doi.org/10.18653/v1/w19-0802
Autor:
Svitlana Petrasova, Kuralai Mukhsina, Nina Khairova, Orken Mamyrbayev, Włodzimierz Lewoniewski
Publikováno v:
FedCSIS
Automatic extraction of synonymous collocation pairs from text corpora is a challenging task of NLP. In order to search collocations of similar meaning in English texts, we use logical-algebraic equations. These equations combine grammatical and sema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1416276293a39a19c888835a316d80d
https://doi.org/10.15439/2018f186
https://doi.org/10.15439/2018f186