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June 25, 2026
HSE Researchers Make Aldehydes Perform Dual Function
Chemists from HSE University have discovered a way to carry out a reductive addition reaction without using an external reducing agent. Instead, the required 'resource' is supplied by the aldehyde itself, one of the reaction participants. This approach helps prevent unwanted side reactions, reduces toxicity, and simplifies the production and synthesis of organic molecules, including those used in the manufacture of medicines. The study has been published in Journal of Catalysis.
June 25, 2026
HSE Scientists Explain Why Findings in Autism Research Differ
Researchers from the Cognitive Health and Intelligence Centre at HSE University conducted the first-ever systematic review of studies on the specifics of emotion-from-motion perception in autism. The review showed that differences found between autistic and non-autistic individuals are largely associated with the experimental design and the types of tasks given to study participants. The review findings have been published in Research in Autism.
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.

 

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Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science

Book 1292: Communications in Computer and Information Science. Springer, 2020.
Under the general editorship: A. Filchenkov, J. Kauttonen, L. Pivovarova
Chapters
E-hypertext Media Topic Model with Automatic Label Assignment
Mitrofanova O., Kriukova A., Shulginov V. et al., , in: Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information ScienceBook 1292: Communications in Computer and Information Science.: Springer, 2020. Ch. 9 P. 102–114.
Added: November 17, 2021
PolSentiLex: Sentiment Detection in Socio-political Discussions on Russian Social Media
Koltsova O., Alexeeva S., Pashakhin S. et al., , in: Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information ScienceBook 1292: Communications in Computer and Information Science.: Springer, 2020. P. 1–16.
We present a freely available Russian language sentiment lexicon PolSentiLex designed to detect sentiment in user-generated content related to social and political issues. The lexicon was generated from a database of posts and comments of the top 2,000 LiveJournal bloggers posted during one year (~1.5 million posts and 20 million comments). Following a topic modeling ...
Added: September 22, 2020
Matching LIWC with Russian Thesauri: An Exploratory Study
Panicheva P., Litvinova T., , in: Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information ScienceBook 1292: Communications in Computer and Information Science.: Springer, 2020. P. 181–195.
In Author Profiling research, there is a growing interest in lexical resources providing various psychologically meaningful word categories. One of such instruments is Linguistic Inquiry and Word Count, which was compiled manually in English and translated into many other languages. We argue that the resource contains a lot of subjectivity, which is further increased in ...
Added: October 29, 2020
Research target: Other social sciences Media and Communications Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology Mathematics Computer Science
Priority areas: sociology IT and mathematics
Language: English
Keywords: natural language processingmachine learningcomputer sciencesocial informaticsartificial intellegence
Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science
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Multilinear nilalgebras and the Jacobian theorem
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