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
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Article
Direct object acquisition in the speech of adult L2 Russian learners
This article investigates direct object acquisition by adult learners of Russian as a second language (L2). Students of different proficiency levels (A1-C1) took part in the experimental study and their data was compared with that produced by the L1 speakers. It found that verb valency, as well as learner proficiency levels, significantly impact this process. Verbs with 5–6 object types demonstrate more differences between L1 and L2 groups than verbs with 3–4 object types, indicating a link between verb valency and acquisition difficulty. Object types used by low proficiency level speakers turned out not to be always the most common or frequent in standard Russian, as the most common types do not equal the simplest ones. The distribution of direct object types was only partly affected by the proficiency level. L2 learners of almost any level appeared to be familiar with different direct object types. It claims that non-accusative, peripheral object types, like infinitives, do not depend on the language proficiency level, regardless of their frequency.
Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2025. Vol. 23. No. 2.
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Book chapter
The Existential Dimension of Traditionalism in the Works of Julius Evola: Towards the Fundamental Principles of the Being of the Differentiated Man
This study is dedicated to identifying the existential dimension of Julius Evola’s Traditionalism, namely, the analysis of his purely practical proposals related to stabilizing the Being of the differentiated man, based on Italian Traditionalist’s later works. In this article we examine the recommended attitude of this human type to the sacred, comprehension of the aspect of invulnerability, perception of practical matters and the relations between the sexes. The paper shows the importance of Traditionalism as a specific language assisting the differentiated man, alienated from the modern world, to successfully integrate oneself in the existential structure of an estranged reality
In bk.: Passages: Studies in Traditionalism and Traditions – Volume II. PRAV Publishing, 2025. P. 309-327.
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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