Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marina Belyanova"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 67-74 (2021)
In recent years, the effectiveness of traditional banner advertising on the Internet has been declining; users tend to pay less attention to the text and graphic banners. This leads to the fact that advertising agencies are forced to come up with sop
Externí odkaz:
https://doaj.org/article/72bcc3db5d7b4ceeb8ecd900c1bf7125
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
The paper considers the task of natural language text generation, particularly the task of question generation based on the given text. Recent research in the area of text generation shows that better quality is achieved using the autoregressive gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06b913e140eac0325cb8c4d19a073871
https://doi.org/10.1007/978-3-030-91581-0_29
https://doi.org/10.1007/978-3-030-91581-0_29
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 67-74 (2021)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 67-74 (2021)
In recent years, the effectiveness of traditional banner advertising on the Internet has been declining; users tend to pay less attention to the text and graphic banners. This leads to the fact that advertising agencies are forced to come up with sop
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030726096
AIST
AIST
The paper considers the task of generating questions by given text. The generation of high-quality questions allows us to solve many problems, for example, in the field of teaching – for the automatic creation of tests for training materials or the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::983a843e25953d214cea314511cf45a2
https://doi.org/10.1007/978-3-030-72610-2_6
https://doi.org/10.1007/978-3-030-72610-2_6
Publikováno v:
Advances in Neural Networks – ISNN 2019 ISBN: 9783030228071
ISNN (2)
ISNN (2)
The paper discusses two machine learning approaches for analysis of job text descriptions and extracting some psychological characteristics which are required from employees. The Holland Codes (RIASEC model) are used as algorithms target variables. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83c819fdc0637388d256a965e3e63f5c
https://doi.org/10.1007/978-3-030-22808-8_48
https://doi.org/10.1007/978-3-030-22808-8_48