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July 24, 2026
'Physics Is What the World Is Literally Built On'
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‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Синтаксический анализ текстов предметной области при помощи онтологии

Труды Института системного программирования РАН. 2021. Т. 33. № 4. С. 99–116.
Гельцер Б. И., Горбач Т. А., Грибова В. В., Карпик О. В., Klyshinskiy E., Kochetkova N. A., Окунь Д. Б., Петряева М., Шахгельдян К. И.

The paper compares three methods for parsing of patients’ chief complaints extracted from electronic medical cards. We propose two methods which are based on usage of an ontology: either as a method for correction of mistake made by a parser, or for constructing syntactical dependencies according to this ontology and a limited set of rules of syntactical governance. As a control test, we use existing natural text parsing libraries. The paper demonstrates that such a simple approach could achieve a high accuracy, which is comparable to modern parsers.

 

Research target: Computer Science Philology and Linguistics
Language: Russian
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Keywords: синтаксический анализontologyонтологииparsingshallow parsingmedical textsповерхностно-синтаксический анализмедицинские тексты
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