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Subject
News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020)

CEUR-WS.org, 2020.
Editor-in-chief: V. Basile, D. Croce, M. Di Maro, L. Passaro
Chapters
KonKretiKa @ CONcreTEXT: Computing concreteness indexes with sigmoid transformation and adjustment for context
Badryzlova Y., , in: Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020).: CEUR-WS.org, 2020. P. 1–8.
The present paper is a technical report of KonKretiKa, a system for computation of concreteness indexes of words in context, submitted to the English track of the CONcreTEXT shared task. We treat concreteness as a bimodal problem and compute the concreteness indexes using paradigms of concrete and abstract seed words and distributional semantic similarity. We ...
Added: October 7, 2020
Research target: Philology and Linguistics Computer Science
Priority areas: humanitarian IT and mathematics
Language: English
Keywords: shared taskconcreteness in contextcomputational concretenessCONcreTEXTtechnical report
Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020)
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