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Development of a System for Evaluating Cognitive Function of Introducing Ellipses in the Texts of Planimetric Problems

https://doi.org/10.15514/ISPRAS-2025-37(3)-13

Abstract

The work is devoted to the study of the cognitive function associated with generating elliptical sentences in the Russian language. This function was tested using an open-source system. The material for testing covers only verbal and nominal ellipses, theoretically fully recoverable on the basis of the context. The texts of planimetric tasks were chosen as testing material. When analyzing the test results, the following facts were revealed: the influence of the respondent’s knowledge in the subject area (planimetry) on the understanding of sentences and on the understanding of the syntactic rules for the construction of ellipses; tendency to self-education of respondents; respondents’ tendency to remove any parts from sentences that they consider redundant. Thus, the cognitive function of the formation of ellipses has an integrative character and includes a linguistic component (syntax), knowledge of the subject area and mental operations of sentence formation. Due to the revealed complexity of the tested function, the task of evaluating the test results also becomes more complicated. The article is devoted to the consideration of various models for assessing the work of respondents both on an integral basis and in relation to each identified component of the cognitive function.

About the Authors

Xenia Aleksandrovna NAIDENOVA
Saint Petersburg Medical Academy
Russian Federation

Cand. Sci. (Tech.), Senior Researcher of the St. Petersburg Medical Academy since 1995. Research interests: machine learning, formal concept analysis, modeling of plausible reasoning, mining natural language texts, cognitive research in linguistics.



Elena Sergeevna BULYKINA
Peter the Great St. Petersburg Polytechnic University
Russian Federation

Master's degree student in Applied Computer Science at Peter the Great St. Petersburg Polytechnic University. Research interests: natural language processing, large language models, interface design.



Tatyana Aleksandrovna MARTIROVA
Saint Petersburg Medical Academy
Russian Federation

Junior Researcher of the St. Petersburg Medical Academy since 1987. Research interests: hygiene, statistics.



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Review

For citations:


NAIDENOVA X.A., BULYKINA E.S., MARTIROVA T.A. Development of a System for Evaluating Cognitive Function of Introducing Ellipses in the Texts of Planimetric Problems. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2025;37(3):185-194. https://doi.org/10.15514/ISPRAS-2025-37(3)-13



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ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)