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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Overview of SimpleText CLEF 2021 workshop and pilot tasks

P. 2212–2227.
Ermakova L., Bellot P., Braslavski P., Kamps J., Mothe J., Nurbakova D., Ovchinnikova I., Sanjuan E.

Scientific literacy is important for people to make right decisions, evaluate the information quality, maintain physiological and mental health, avoid spending money on useless items. However, since scientific publications are difficult for people outside the domain and so they do not read them at all even if they are accessible. Text simplification approaches can remove some of these barriers to use scientific information, thereby promoting the use of objective scientific findings and avoiding that users rely on shallow information in sources prioritizing commercial or political incentives rather than the correctness and informational value. The CLEF 2021 SimpleText workshop addresses the opportunities and challenges of text simplification approaches to improve scientific information access head-on. This year, we run three pilot tasks trying to answer the following questions: (1) What information should be simplified? (2) Which terms should be contextualized by giving a definition and/or application? (3) How to improve the readability of a given short text (e.g. by reducing vocabulary and syntactic complexity) without significant information distortion?

Language: English
Keywords: multidocument summarization
Publication based on the results of:
Development of Mathematical Models and Methods for Recommender Systems and Natural Language Processing (2020)

In book

CLEF 2021 Working Notes
CEUR Workshop Proceedings, 2021.
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