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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)

Вып. 19(26). M. : -, 2020.
Under the general editorship: Селегей В.

 Papers from the Annual International Conference “Dialogue” (2020). Issue 19

Chapters
RuREBus-2020 Shared Task: Russian Relaton Extraction for Business
Artemova E., Batura T., Sarkisyan V. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 416–432.
В статье представлены результаты соревнования по распознаванию именованных сущностей и извлечению отношений. Целью соревнования является сравнение методов извлечения сущностей и отношений на русском языке в постановке, приближенной к индустриальным задачам. В качестве исходной коллекции текстов использовался корпус Минэкономразвития РФ, содержащий программы стратегического развития. Корпус был размечен в соответствии с инструкцией, разработанной авторами статьи. В процессе ...
Added: June 11, 2020
Referential phenomena in speaker's kinetic channels
Budennaya E., Evdokimova A., Nikolaeva J. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 118–131.
The article addresses the relation of referential expressions and co-occurring kinetic phenomena (hand and head gestures) on the material of the RUPEX multimodal corpus. The results reflect significant differences in how individual movements and gestures are aligned with two major types of reference (full NPs vs. reduced expressions). It was initially assumed that full NPs ...
Added: June 26, 2020
Русский Конструктикон: новый лингвистический ресурс, его устройство и специфика
Эндресен А. А., Жукова В. А., Мордашова Д. Д. et al., В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. С. 241–255.
We present a new open-access electronic resource named the Russian Constructicon that offers a searchable database of Russian constructions accompanied by descriptions of their properties and illustrated with corpus examples. The project was carried out over the period 2016–2020 and at present contains an inventory of over 2200 multi-word constructions of Contemporary Standard Russian. We ...
Added: July 3, 2020
Русский Конструктикон: новый лингвистический ресурс, его устройство и специфика
Эндресен А. А., Жукова В. А., Мордашова Д. Д. et al., В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. С. 241–255.
We present a new open-access electronic resource named the Russian Constructicon that offers a searchable database of Russian constructions accompanied by descriptions of their properties and illustrated with corpus examples. The project was carried out over the period 2016–2020 and at present contains an inventory of over 2200 multi-word constructions of Contemporary Standard Russian. We ...
Added: July 3, 2020
Exploring Semantic Concreteness and Abstractness for Metaphor Identification and Beyond
Badryzlova Y., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 33–47.
The paper presents a method for computing indexes of semantic concreteness and abstractness in two languages (Russian and English). These indexes are used in metaphor identification experiments in both languages; the results are either comparable to or surpass pervious work and the baselines. We analyze the obtained indexes of concreteness and abstractness to see how ...
Added: August 24, 2020
GRAMEVAL 2020 Shared Task: Russian Full Morphology and Universal Dependencies Parsing
Lyashevskaya O., Shavrina T., Trofimov I. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 553–569.
The paper presents the results of GramEval 2020, a shared task on Russian morphological and syntactic processing. The objective is to process Russian texts starting from provided tokens to parts of speech (pos), grammatical features, lemmas, and labeled dependency trees. To encourage the multi-domain processing, five genres of Modern Russian are selected as test data: ...
Added: August 30, 2020
Annotating and exploring code-switching in four corpora of minority languages of Russia
Dyachkov V., Khomchenkova I., Pleshak P. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 228–240.
Added: October 29, 2020
Валентная структура некоторых речевых предикатных слов: новые находки
Iomdin B., Иомдин Л. Л., В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. С. 400–415.
The paper discusses valency frames of a number of Russian verbal predicates whose semantics includes speech acts and, at a cetrain step of semantic decomposition, the negation, like vozražat’ ‘object, retort’, vozmuščat’sja ‘resent, be indignant’ or izvinjat’sja ‘apologize’. It is hypothesized that the frames of such predicates include a pair of propositional valencies distinctly opposed ...
Added: November 6, 2020
Чему нас учат ошибки: трудности при обработке слов с частотными орфографическими ошибками
Чернова Д. А., Алексеева С. В., Slioussar N., В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. С. 147–159.
Орфографические ошибки — страшная напасть, но мы привыкли думать, что терпение и труд помогут с ней справиться. Однако, даже если мы сами научились писать правильно то или иное слово, никто не может уберечь нас от ошибок, сделанных другими. Эта проблема стала особенно актуальной сейчас, с появлением многочисленных электронных СМИ, чатов, социальных сетей, где колоссальные массивы текстов публикуются без ...
Added: November 20, 2020
Dialogue management using extended discourse trees
Ilvovsky D., Galitsky B., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 361–371.
In this paper we learn how to manage a dialogue relying on discourse of its utterances. We consider two complementary approaches of dialogue management based on the discourse text analysis to extend the abilities of the interactive information retrieval-based chat bot. ...
Added: November 27, 2020
Modeling lemma frequency bands for lexical complexity assessment of Russian texts
Blinova O. V., Tarasov N., Blekanov I. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)Вып. 19(26).: М.: Изд-во РГГУ, 2020. P. 76–92.
The paper is devoted to the problem of modeling general-language frequency using data of large Russian corpora. Our goal is to develop a methodology for forming a consolidated frequency list which in the future can be used for assessing lexical complexity of Russian texts. We compared 4 frequency lists developed from 4 corpora (Russian National Corpus, ...
Added: December 12, 2022
Research target: Computer Science Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: Russian
Text on another site
Keywords: компьютерная лингвистикаcomputational linguisticsинтеллектуальные технологииintellectual technologies
Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.)
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