Investigating the Capabilities of Recurrent Neural Networks for Solving the Problem of Classifying Poorly Structured Information on the Example of Bibliographic Data

— With the development of information technology, new fields of automatic data processing are becoming available, including bibliographic data. When information is collected from different sources and contains nonuniformly structured bibliographic records with formatting mistakes, transmitting the d...

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Vydané v:	Russian microelectronics Ročník 52; číslo 7; s. 711 - 715
Hlavní autori:	Petrov, E. N., Portnov, E. M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Moscow Pleiades Publishing 01.12.2023 Springer Nature B.V
Predmet:	Accuracy Bibliographic records Bibliographies Classification Data processing Electrical Engineering Engineering Information technology Learning Neural networks Programming languages Python Recurrent neural networks Research facilities Software Software engineering software development recurrent neural networks Python programming language data processing
ISSN:	1063-7397, 1608-3415
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