?
Big Data Analytics Approach with Multiple Text Types: The Case of the Computer Gaming
P. 275–287.
Aleksandr Belov, Zakharov F., Litvinenko E., Molokanov R., Malyshkina K., Ilya Semichasnov, Markin A.
In book
Vol. 1228. , Springer Publishing Company, 2025.
Kenneth E., Chung I., Kerboua I. et al., , in: Proceedings of the 13th International Conference on Learning Representations (ICLR 2025).: ICLR, 2025. P. 102004–102060.
Text embeddings are typically evaluated on a limited set of tasks, which are constrained by language, domain, and task diversity. To address these limitations and provide a more comprehensive evaluation, we introduce the Massive Multilingual Text Embedding Benchmark (MMTEB) - a large-scale, community-driven expansion of MTEB, covering over 500 quality-controlled evaluation tasks across 250+ languages. ...
Added: June 11, 2026
Снегирев А., Tikhonova M., Maksimova A. et al., , in: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language TechnologiesVol. 1: Volume 1: Long Papers.: Association for Computational Linguistics, 2025. P. 236–254.
Embedding models play a crucial role in Natural Language Processing (NLP) by creating text embeddings used in various tasks such as information retrieval and assessing semantic text similarity. This paper focuses on research related to embedding models in the Russian language. It introduces a new Russian-focused embedding model called ru-en-RoSBERTa and the ruMTEB benchmark, the ...
Added: June 11, 2026
Churin I., Apishev M., Tikhonova M. et al., , in: Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025).: Suzhou: Association for Computational Linguistics, 2025. P. 1–13.
Recent progress in Natural Language Processing (NLP) has driven the creation of Large Language Models (LLMs) capable of tackling a vast range of tasks. A critical property of these models is their ability to handle large documents and process long token sequences, which has fostered the need for a robust evaluation methodology for long-text scenarios. ...
Added: June 11, 2026
Strube M., Braud C., Hardmeier C. et al., Suzhou: Association for Computational Linguistics, 2025.
Added: June 11, 2026
Rabat: Association for Computational Linguistics, 2026.
Added: May 19, 2026
Маленко Маро Янович, Галактика медиа: журнал медиа исследований 2025 Т. 7 № 2 С. 187–208
The article focuses on "ethnological video games", defined as video games which are developed on the basis of ethnographic and folkloric material. The particular focus is on the kind of ethnological games which contain representation or simulation of shamanistic practices. Among them are "Mooseman" based on Komi-Permyak and Finno-Ugric mythology, "Never Alone" based on Iñupiaq ...
Added: May 4, 2026
Мулина А. А., В кн.: Балканские войны 1912–1913 гг.: далекие предпосылки и долгое эхо.: М.: Институт славяноведения РАН, 2024. С. 287–297.
В данной статье рассматривается вопрос отражения событий 1912–1913 гг. в национальных СМИ Сербии в 2012–2013 и 2022–2023 гг. Опираясь на «большие данные», полученные из сервиса Google, а также на материалы качественной газеты «Политика», автор анализирует особенности освещения эпизодов Балканских войн, а также запросы пользователей интернета на территории Сербии по темам, связанным с событиями 1912–1913 гг. ...
Added: April 21, 2026
Мулина А. А., Якова Т. С., Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика 2025 Т. 30 № 1 С. 161–171
The article presents the results of a study of the information space of the Balkan states conducted during the presidential elections in Turkey (2023): the authors referred to this period as one of the most striking political events in the country over the past five years. The purpose of the proposed work is to identify ...
Added: April 21, 2026
Alexander Demidovskij, Artyom Tugaryov, Igor Salnikov et al., , in: PRICAI 2025: Trends in Artificial Intelligence: 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17–21, 2025, Proceedings, Part IIIVol. 16453.: Springer, 2026. P. 603–612.
The backpropagation method is the predominant method for pre-training and fine-tuning of Large Language models. At the same time, it is considerably demanding in terms of memory and hardware. Therefore, it makes fine-tuning and pre-training very expensive, harmful for the environment due to the large carbon footprint, and raises the blocks for the development of ...
Added: April 21, 2026
Springer, 2026.
This proceedings contain the papers presented at the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI), held on November 17–21, 2025 in Wellington, New Zealand. PRICAI 2025 was co-hosted with the 40th International Conference on Image and Vision Computing New Zealand (IVCNZ 2025) and the annual conference of the New Zealand Artificial Intelligence Researchers ...
Added: April 21, 2026
Momotenko D., Цепелевич М., Ткаченко И. et al., Психология. Психофизиология 2025 Т. 18 № 2 С. 34–46
Introduction. Video games constitute a special form of digital media characterized by dynamic environments that respond to players’ actions and integrated algorithms. Within psychological research, video games offer better validity compared to traditional automated assessment systems, enabling a naturalistic investigation of various phenomena. Furthermore, video games shape mental processes. These features are widely exploited in international psychological research and are critical ...
Added: April 17, 2026
Balayan A. A., Томин Л. В., Публичная политика 2023 Т. 7 № 1-2 С. 108–117
The paper is devoted to the study of certain aspects of the digitalization of public administration in autocracies, primarily government platforms and digital services. The analysis of the political effects of government platforms and services is carried out in the broader context of the study of new cybernetic mode of governance that complement/transform the disciplinary ...
Added: March 31, 2026
Smirnov A., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 1 С. 129–153
The article considers a theoretical model of digital society based on four concepts: super-connectivity, platformisation, datafication, and algorithmic governance. The model describes how the digitalisation of society deepens: from the transfer of individual practices and social interactions to a new social order based on big data. Analysis of panel data from the 2003–2018 longitudinal survey ...
Added: March 18, 2026
Smirnov A., Экономика региона 2022 Т. 18 № 1 С. 133–145
The nature and intensity of migration processes are constantly changing. Demographic statistics are not suitable for obtaining up-to-date information and making timely decisions in the field of demographic and social policy. Thus, digital demography is becoming increasingly important, as this area of population research uses new methods and data sources resulting from the Internet expansion ...
Added: March 18, 2026
Yalcin H., Demirhan D., Aracioglu B. et al., Technology in Society 2026 Vol. 84 Article 103094
This article comprehensively evaluates the critical role of FinTech in promoting carbon neutrality and green logistics practices in global supply chains. In our study, using bibliometric analysis, social network analysis and natural language processing (NLP) methods, we evaluate the potential of FinTech innovations to increase traceability, transparency and efficiency in supply chain processes. In this ...
Added: March 11, 2026
Kazakov S., Cuesta-Valiño P., Butkovskaya V. et al., Cuadernos de Gestion 2025 Vol. 25 No. 1 P. 71–88
This study provides an in-depth examination of often-overlooked hotel service micro-elements within the broader spectrum of hospitality services, with the aim of improving service delivery and enhancing guest satisfaction. To achieve this, we develop a methodological framework that integrates: (a) VADER text-based sentiment analysis, (b) a robust logistic regression procedure to identify the specific hotel ...
Added: February 28, 2026
Bernadotte A, Elfimov N., Menshikov I., Scientific data 2025 Vol. 13 No. 41
Accurate segmentation of brain vessels in magnetic resonance angiography (MRA) is essential for surgical procedures. Neural networks are powerful tools for medical image segmentation, but their development requires well-annotated datasets. However, publicly available MRA datasets with detailed vessel annotations are scarce. We present a dataset of 100 manually annotated brain MRA images from the IXI ...
Added: February 25, 2026
Kharlamov A. A., Pilgun M., , in: Special Issue Sensing Technology for Smart Cities: Data, Analytics, and VisualizationsVol. 24. Issue 15.: [б.и.], 2024.
The analysis of large volumes of data collected from heterogeneous sources is increasingly important for the development of megacities, the advancement of smart city technologies, and ensuring a high quality of life for citizens. This study aimed to develop algorithms for analyzing and interpreting social media data to assess citizens’ opinions in real time and ...
Added: February 22, 2026
[б.и.], 2024.
Nowadays a huge portion of population lives in urban areas, and projections indicate that most cities are going to be confronted with a growing urban population in the next few years. This undoubtably poses new challenges that must be addressed by city councils and stakeholders to guarantee citizens’ high quality of life. Mobility, pollution, climate ...
Added: February 15, 2026
Antipkina I., Иванущенко А. В., Калабина И. А. et al., Мир психологии. Научно-методический журнал 2025 № 4(123) С. 295–316
Low-quality test items pose significant risks of biased and inaccurate assessment in higher education. In this study, multi-disciplinary test banks were examined, first, using classical test theory and then using a Large Language Model (Grok). Our findings reveal a number of problems in university test items due to methodological shortcomings rather than content inaccuracies. Based ...
Added: January 22, 2026
Barchukov, V., Relacoes Internacionais no Mundo Atual 2024 Vol. 4 No. 46 P. 113–132
Objective: Despite the opportunities that are opening up due to the development of information support systems and artificial intelligence in law enforcement, unfortunately, the Russian Federation has not yet fully formed a scientifically based legal and organizational framework for their integrated and practical application in activities of law enforcement agencies. The article aims to assess ...
Added: January 20, 2026
Demekhina A., Milshina Y., , in: Artificial Intelligence Enabled Real Time Environmental Monitoring.: Springer, 2026. P. 253–281.
Added: January 13, 2026