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.
Publications
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Book
Russian Faith, Honour, & Courage Displayed in a Faithfull Narrative of the Russian Expedition by Sea (1769 & 1770): By Rear Admiral John Elphinstone. London: Boydell & Brewer, 2024. 328 p.
Volume 44 in the Hakluyt Society Third Series is Russian Faith, Honour & Courage Displayed in a Faithfull Narrative of the Russian Expedition by Sea in the Years 1769 & 1770, British Captain John Elphinstone’s four-volume account of his two years in the Russian navy, serving the Russian Empress Catherine the Great. The Faithfull Narrative contains descriptions of his voyage from the Baltic to the Mediterranean, movements through the Aegean Sea, and commentary on the activities of the Imperial Russian Navy during the Russian-Ottoman War of 1768-74. Elphinstone offers one of the few first-hand accounts of the expedition and the celebrated Battle of Chesme (1770), which gave the Russian empire its maritime credentials. The text covers the squadron’s movements around the Aegean Sea, including the major events and incidents of 1770: the Battle of Chesme, the siege of Lemnos, the loss of Elphinstone’s flagship, Sviatoslav. The final part of the text sees Elphinstone return to St Petersburg in 1771 and then to London at the end of that year, to deal with the repercussions of the voyage to the Mediterranean.
NY: Boydell and Brewer Ltd, 2024.
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Article
Observations on the Verb Morphology of the Language of the “Amorite-Akkadian Bilinguals”
The left column of the newly published “Amorite-Akkadian bilinguals” contains words and sentences in a heretofore unknown Northwest Semitic language, with an Old Babylonian translation. The present study compares the verb morphology of this language with those of Biblical Hebrew and various Aramaic languages.
Aramaic Studies. 2024. Vol. 22. No. 2. P. 137-149.
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Book chapter
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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