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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
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A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Coreference in Russian Oral Movie Retellings (the Experience of Coreference Relations Annotation in “Russian CliPS ” corpus)

P. 769–781.
Toldova S. Yu., Bergelson M. B., Khudyakova M. V.

The work deals with adapting the Russian coreference corpus RuCor annotation system (used for written Russian) to the corpus of Russian oral narratives from the Russian Clinical Pear Stories Corpus (Russian CliPS) (Khudyakova et al., 2016). Russian CLiPS is a corpus of Russian “Pear stories” movie (Chafe, 1980) retellings in clinical populations as compared to neurologically healthy people. The analysis deals with 11 texts by healthy people and 9 texts by people with various types of aphasia. The focus is on the specificity of reference choice in oral retellings and the parameters to be used for the annotation procedure to register deviations in referential choice in spoken discourse as compared to the written one. The specific features for annotation of referential choice in clinical populations are also under discussion. The main claims are as follows. Certain types of speech disfluencies should be integrated into the coreference annotation scheme. These are noun phrases, which are repetitions of a previous referent mention, referent renaming, or name correction. Such occurrences can influence the referent activation; on the other hand, they could shed some light on the process of the referential expression choice. The NP morphosyntactic structure and zero-anaphora should have more granulated set of features for coreference devices, as they are more diverse in spoken discourse. Moreover, certain structures, such as adjectives postposition etc. and some types of zeros are characteristic of referential expressions in spoken discourse.

Language: English
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Keywords: афазияреференциальный выборreferential choiceанафораcorpus annotationаннотация корпусаanaphora aphasiaspoken narrativesустные нарративы
Publication based on the results of:
Лингвистический, когнитивный и прагматический анализ нарративов из корпуса Russian CliPS (2016)

In book

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.)
Вып. 15. , М.: Изд-во РГГУ, 2016.
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