Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Sergiy Pogorilyy"'
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3210 (2021)
Coherence evaluation of texts falls into a category of natural language processing tasks. The evaluation of texts’ coherence implies the estimation of their semantic and logical integrity; such a feature of a text can be utilized during the solving
Externí odkaz:
https://doaj.org/article/9b46d7de3fda4995b853d0b291d4f1c5
Publikováno v:
Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал, № 3
An application development and verification method for massively parallel systems using NVIDIA GPUs is proposed. The method allows creating models at different levels of abstraction using the apparatus of marked transition systems. The compositions (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa85d6420108fec0813cd88c8dc2a011
https://doi.org/10.20535/srit.2308-8893.2020.3.01
https://doi.org/10.20535/srit.2308-8893.2020.3.01
Autor:
A. A. Kramov, Sergiy Pogorilyy
Publikováno v:
Cybernetics and Systems Analysis. 56:893-899
The graph-based method of coherence assessment of texts based on the analysis of semantic, grammatical, and lexical consistency of sentence phrases has been suggested. The experimental verification of the efficiency of the method has been performed o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2422fb2127d53d1381d2531fd455bed8
https://doi.org/10.1007/s10559-020-00309-7
https://doi.org/10.1007/s10559-020-00309-7
Autor:
Sergiy Pogorilyy, A.A. Kramov
Publikováno v:
PROBLEMS IN PROGRAMMING. :295-303
The main methods of coherence evaluation of texts with the usage of different machine learning techniques have been analyzed. The principles of methods with the usage of recurrent and convolutional neural networks have been described in details. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50d3cfcbc1f28ef5dba747d4a49f8cde
https://doi.org/10.15407/pp2020.02-03.295
https://doi.org/10.15407/pp2020.02-03.295
Autor:
Artem Kramov, Sergiy Pogorilyy
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031148408
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eaacc685be9c88e90b293aa7652557c
https://doi.org/10.1007/978-3-031-14841-5_33
https://doi.org/10.1007/978-3-031-14841-5_33
Publikováno v:
2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e96c6a0a4eb982cb48921a1edf6fed9b
https://doi.org/10.1109/atit54053.2021.9678674
https://doi.org/10.1109/atit54053.2021.9678674
Autor:
Sergiy Pogorilyy, Artem Kramov
Publikováno v:
2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT).
The coherence of a text interprets the thematic connection between the different parts of the text. According to the lack of the unified structure of a text and the necessity to estimate the semantic meaning of its parts, different machine learning m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75730dc59629f85a247b4fd761430879
https://doi.org/10.1109/atit50783.2020.9349355
https://doi.org/10.1109/atit50783.2020.9349355
Autor:
Artem Kramov, Sergiy Pogorilyy
Introduction. The area of natural language processing considers AI-complete tasks that cannot be solved using traditional algorithmic actions. Such tasks are commonly implemented with the usage of machine learning methodology and means of computer li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905e7a9c33e65ae0bfd48a652413a091
http://arxiv.org/abs/2010.11548
http://arxiv.org/abs/2010.11548
Autor:
A.A. Kramov, Sergiy Pogorilyy
Publikováno v:
PROBLEMS IN PROGRAMMING. :149-158
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48806a050f22c64dce55ca1ddc2bab6f
https://doi.org/10.15407/pp2018.02.149
https://doi.org/10.15407/pp2018.02.149
Autor:
Sergiy Pogorilyy, Artem Kramov
Publikováno v:
2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT).
Coreference resolution is one of background tasks in the area of natural language processing. Corresponding state-of-the-art methods are based on machine learning algorithms and consist in detection of regularities between semantic and grammatical fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef06e653a50b86aa6857334dc27657a2
https://doi.org/10.1109/atit49449.2019.9030596
https://doi.org/10.1109/atit49449.2019.9030596