Faculty of Humanities

Publications

• Book

  Moiseev D.

  The Philosophy of Italian Fascism: Formation & Evolution

  Italian Fascism: its era has passed, yet its intellectual underpinnings remain a subject of intense scholarly debate.

  In his groundbreaking monograph, Russian scholar Dmitry Moiseev delves into the heart of Fascist political philosophy using the hermeneutical method. Tracing its roots back to the 19th-century intellectual movements that seeded its emergence, Moiseev navigates through Fascism’s ideological maturation up to its eventual demise in 1945.

  What philosophical doctrines fuelled the minds behind Italian Fascism? Did a distinct ‘Fascist philosophy’ exist, and if so, what were its core tenets? Moiseev’s work embarks on a meticulous exploration of these questions, uncovering the enduring ideas that shaped the convictions and policies of Fascist Italy’s thinkers.

  This monograph is designed for both seasoned philosophers and those intrigued by the intellectual legacy of the 20th century’s right-wing radical movements. The Philosophy of Italian Fascism is not just an academic inquiry but a journey into the ideological foundations of one of history’s most notorious regimes.

  L.: Arktos, 2024.

• Article

  Zevakhina N., Dongarova K., Shubina D. et al.

  Over-specification of small, borderline cardinalities and color in referential communication: The role of visual context, modifier position, and consistency

  This paper reports on two flash-mode experiments that test redundant descriptions of small (2–4) cardinalities, borderline (5–8) cardinalities, and color in referential communication. It provides further support for the idea that small cardinalities are more salient (due to subitizing), less sensitive to visual context, and therefore give rise to higher over-specification rates than color. Because of greater salience, Russian speakers more often use prenominal positions for numerals than for color adjectives. The paper also investigates borderline cardinalities and argues for the order factor that affects their salience, since ordered items can be perceived in small subitized parts. The ordered mode of presentation of the borderline cardinalities leads to higher over-specification rates and to higher percentages of prenominal positions than the unordered one. The paper provides further evidence for the consistency of small, borderline cardinalities, and color in people’s choices to minimally specify or over-specify given objects in referential communication.

  Frontiers in Psychology. 2024.

• Book chapter

  Chernyavskiy A., Ostyakova L., Ilvovsky D.

  GroundHog: Dialogue Generation using Multi-Grained Linguistic Input

  Recent language models have significantly boosted conversational AI by enabling fast and cost-effective response generation in dialogue systems. However, dialogue systems based on neural generative approaches often lack truthfulness, reliability, and the ability to analyze the dialogue flow needed for smooth and consistent conversations with users. To address these issues, we introduce GroundHog, a modified BART architecture, to capture long multi-grained inputs gathered from various factual and linguistic sources, such as Abstract Meaning Representation, discourse relations, sentiment, and grounding information. For experiments, we present an automatically collected dataset from Reddit that includes multi-party conversations devoted to movies and TV series. The evaluation encompasses both automatic evaluation metrics and human evaluation. The obtained results demonstrate that using several linguistic inputs has the potential to enhance dialogue consistency, meaningfulness, and overall generation quality, even for automatically annotated data. We also provide an analysis that highlights the importance of individual linguistic features in interpreting the observed enhancements.

  In bk.: Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024). Association for Computational Linguistics, 2024. P. 149-160.

• Working paper

  Dolgorukov V., Gladyshev M., Galimullin R.

  Dynamic Epistemic Logic of Resource Bounded Information Mining Agents

  Logics for resource-bounded agents have been getting more and more attention in recent years since they provide us with more realistic tools for modelling and reasoning about multi-agent systems. While many existing approaches are based on the idea of agents as imperfect reasoners, who must spend their resources to perform logical inference, this is not the only way to introduce resource constraints into logical settings. In this paper we study agents as perfect reasoners, who may purchase a new piece of information from a trustworthy source. For this purpose we propose dynamic epistemic logic for semi-public queries for resource-bounded agents. In this logic (groups of) agents can perform a query (ask a question) about whether some formula is true and receive a correct answer. These queries are called semi-public, because the very fact of the query is public, while the answer is private. We also assume that every query has a cost and every agent has a budget constraint. Finally, our framework allows us to reason about group queries, in which agents may share resources to obtain a new piece of information together. We demonstrate that our logic is complete, decidable and has an efficient model checking procedure.

  arxiv.org. Computer Science. Cornell University, 2024