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Значение теории К-представлений для исследований по автоматическому выявлению семантических ролей
Информационные технологии. 2015. Т. 21. № 6. С. 403–411.
Фомичев В.А., Разоренов А.А.
The paper shows an incompleteness of theoretical foundations of the Computational Semantics branches called Semantic Role Labeling and Frame-Semantic Parsing. This situation is a consequence of a seeming lack of a semantic formalism allowing to describe semantic structures of complex sentences and discourses pertaining to arbitrary application domains. It is concluded that the theory of K-representations (knowledge representations) provides a formalism of the kind, determining a new class of formal languages — the class of SK-languages (standard knowledge languages). Some new expressive mechanisms of SK-languages are illustrated. The central ideas of a method of semantic parsing of natural language (NL) texts proposed by the theory of K-representations are set forth. The method employs the class of SK-languages for constructing semantic representations of texts. The final part of the paper considers the application of the method to designing NL-interfaces for software management. A file manager with a NL-interface NLC-1 (Natural Language Commander — Version One) has been developed, the system is implemented with the help of the functional programming language Haskell.
Keywords: естественный языкСК-языкиSK-languagetheory of K-representationssemantic representationnatural languagesoftware managementsemantic role labelingNatural Language CommanderHaskelllinguistic databaseлингвистическая база данныхsemantic-syntactic analysis of textssemantic parsingframe-semantic parsingfile system natural language managementсемантико-синтаксический анализ текстоввыявление семантических pолейфpеймово-семантический анализсемантическое пpедставлениетеоpия К-пpедставленийупpавление пpогpаммным обеспечениеместественно-языковое упpавление файловой системойNatural Language CommanderHaskell
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Vasilii A. Gromov, Dang Q. N., Asel S. Erbolova, Complexity 2025 Vol. 2025 No. 1 Article 9659172
The present paper employs topological data analysis methods to reveal ‘holes’ (stable persistent homologies) in the semantic spaces of words, bigrams, and trigrams of the English and Russian languages, and to ascertain their boundaries. Furthermore, the paper selects those holes that belong to the large‐scale (coarse‐grained) structure of the language that are not just local ...
Added: November 11, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon
by not intersecting diagonals. ...
Added: September 17, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 20584.
We give a new proof of the following statement: the Catalan number C_n is divisible
by n+2, if n is odd and n<> 3k+1. ...
Added: September 9, 2025
Bychkova P., Alyaxey Yaskevich, Serafima Gyulasaryan et al., , in: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).: ELRA and ICCL, 2024. P. 2548–2555.
This paper discusses the Routinicon, a new constructicographic resource for the description of conversational routines. Conversational routines are defined as conventional formulaic expressions that language speakers use in standard extralinguistic situations (cf. Bless you! as a reaction to sneezing or Who’s there? as a typical answer to a knock on the door). The Routinicon’s goal ...
Added: February 25, 2025
Frolova N., Н. Новгород: [б.и.], 2023.
Монография дает представление о такой перспективной междисциплинарной области знаний, как IT-лингвистика, решающей современные задачи обработки больших лингвистических данных, в том числе корпусного анализа, обработки, синтеза и экспертизы устной речи, автоматизированного перевода, создания компьютерных программ лингвистического анализа для целей научных исследований, обучения языкам и оптимизации практической деятельности в языковых и смежных профессиональных сферах.
Монография предназначена для широкого ...
Added: February 21, 2024
Куслий П. С., Mikirtumov I., Эпистемология и философия науки 2022 Т. 59 № 2 С. 6–22
In this paper, we would like to argue in support of the productiveness of epistemological investigations at the interface of the semantics and pragmatics of natural language and the analysis of
perception. We begin with a short overview the history of convergence of these two areas of research. Leibniz is the center of this
historical discussion. We ...
Added: August 16, 2023
Buzanov A., Bychkova P., Molchanova A. et al., , in: Proceedings of the Thirteenth Language Resources and Evaluation Conference.: European Language Resources Association (ELRA), 2022. P. 3331–3336.
The paper presents a multilingual database aimed to be used as a tool for typological analysis of response constructions called discourse formulae (DF), cf. English ‘No way¡ or French ‘Ça va¡(‘all right’). The two primary qualities that make DF of theoretical interest for linguists are their idiomaticity and the special nature of their meanings (cf. ...
Added: October 14, 2022
Springer Publishing Company, 2021.
This open access book constitutes papers from the 5 research workshops, the poster presentations, as well as two panel discussions which were presented at XP 2021, the 22nd International Conference on Agile Software Development, which was held online during June 14-18, 2021.
XP is the premier agile software development conference combining research and practice. It is ...
Added: October 27, 2021
Ponomareva Maria, Petrova M., Detkova J. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 16–19 июня 2021 г.)Issue 20.: Russian State University for the Humanitie, 2021.
Added: September 29, 2021
Kazakov R., Lyashevskaya O., , in: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2021)Issue 20: Основной том.: -, 2021. P. 367–377.
The task of the semantic role labeling usually focuses on identifying and classifying the core, obligatory argu ments of the predicate. The adjuncts of Time, Location, etc. (noncore, modifier arguments) are considered on the periphery of the task [30] and even doing the easy part of it [44], despite the fact that they are highly ...
Added: September 16, 2021
Springer, 2022.
“Data Analytics and Management in Data Intensive Domains” conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, ...
Added: August 30, 2021