The Faculty of Humanities was created on December 1, 2014. It trains instructors and researchers in the field of language and literature, as well as specialists in philosophy, history, and modern culture.
The main goal of the faculty is to teach students how to understand and analyse various cultural processes, employ current research strategies, and effectively put their knowledge into practice.
The faculty’s staff are leading Russian academics and practitioners from various cultural fields, as well as invited foreign specialists. Students receive a modern education in the humanities, as well as thorough language preparation, which allows them to find extensive professional opportunities upon graduation. Students are given the opportunity to conduct research and gain practical experience at major private and public establishments.
Our strengths:
1. Interdisciplinary approach
We study the humanities alongside other academic fields so that students can apply their skills in various areas.
2. International cooperation
We maintain active international ties, which allows students to undertake internships and study abroad, as well as broaden their outlook and cultural experiences.
3. Research
We encourage and support student participation in research projects. This gives them an opportunity to apply their knowledge in practice and make a contribution to the development of the humanities.
Our graduates pursue careers in public and commercial organisations and various types of mass media. They also implement their own media, cultural, social, and educational projects.
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Publications
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Book
Social Science & Humanities
This study analyzes the biography and work of Kim Bok-jin (pseudonym: Chongwan), the first Korean to graduate from the sculpture department of Tokyo University of the Arts in Japan during the Japanese colonial period (in 1925) and the first sculptor to introduce Western realist techniques to Korea. The study will also examine the national motifs in the works of Kim Bok-jin against the backdrop of a difficult historical period, and analyze a number of his little-known works through the prism of Korean studies. The main content of the study is the sculptures of Kim Bok-jin “standing woman”, “statue of Maitreya Buddha” “Baek Hwa”, “Youth (Boy)”, “Old man”. He is a significant figure in Korean sculpture: from 1925 until his death in 1940, Kim Bok-jin regularly exhibited his works at the Joseon Art Exhibition, and in addition to his artistic activities, he also ran the Art Research Institute, nurturing young artists. He also engaged in journalism, criticism, and political activity as a member of the Joseon Communist Party. The purpose of this study is to rethink the work of Kim Bok-jin, the founder of Korean sculpture, who was posthumously awarded the Order of Merit of the National Foundation in 1993.
Prt. 10: Social Science & Humanities. Iss. 7. International Journal of Current Science Research and Review, 2024.
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Article
Echoes of the Turkish language reform: attitudes to Arabic and Persian loanwords in discourse
Arabic and Persian loanwords in Turkish, once targeted for replacement by ‘pure’ Turkish equivalents during the early 20th-century language reform, have been promoted by the government in recent years. However, public attitudes toward their use remain unclear. Based on 20 semi-structured interviews and a survey (N = 203), this study explores contemporary social meanings associated with these loanwords. The findings demonstrate how their use is interpreted as an indicator of education levels, intellectual capabilities, and political leanings. While strong support for the language reform persists, younger individuals view these loanwords more favorably and express less radical attitudes than older individuals.
Turkish Studies. 2025. P. 1-31.
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Book chapter
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
Minimal pairs are a well-established approach to evaluating the grammatical knowledge of language models. However, existing resources for minimal pairs address a limited number of languages and lack diversity of language-specific grammatical phenomena. This paper introduces the Russian Benchmark of Linguistic Minimal Pairs (RuBLiMP), which includes 45k pairs of sentences that differ in grammaticality and isolate a morphological, syntactic, or semantic phenomenon. In contrast to existing benchmarks of linguistic minimal pairs, RuBLiMP is created by applying linguistic perturbations to automatically annotated sentences from open text corpora and decontaminating test data. We describe the data collection protocol and present the results of evaluating 25 language models in various scenarios. We find that the widely used LMs for Russian are sensitive to morphological and agreement-oriented contrasts, but fall behind humans on phenomena requiring the understanding of structural relations, negation, transitivity, and tense. RuBLiMP, the codebase, and other materials are publicly available.
In bk.: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. P. 9268-9299.
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Working paper
Exploring the Effectiveness of Methods for Persona Extraction
The paper presents a study of methods for extracting information about dialogue participants and evaluating their performance in Russian. To train models for this task, the Multi-Session Chat dataset was translated into Russian using multiple translation models, resulting in improved data quality. A metric based on the F-score concept is presented to evaluate the effectiveness of the extraction models. The metric uses a trained classifier to identify the dialogue participant to whom the persona belongs. Experiments were conducted on MBart, FRED-T5, Starling-7B, which is based on the Mistral, and Encoder2Encoder models. The results demonstrated that all models exhibited an insufficient level of recall in the persona extraction task. The incorporation of the NCE Loss improved the model's precision at the expense of its recall. Furthermore, increasing the model's size led to enhanced extraction of personas.arxiv.org. Computer Science. Cornell University, 2024