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  1. MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection

    Kotyushev, M., Glazkova, A. & Morozov, D., 2021, SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop. Palmer, A., Schneider, N., Schluter, N., Emerson, G., Herbelot, A. & Zhu, X. (eds.). Association for Computational Linguistics, p. 913-918 6 p. (SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  2. Keywords, Morpheme Parsing, and Syntactic Trees: Features for Text Complexity Assessment

    Morozov, D. A., Smal, I. A., Garipov, T. A. & Glazkova, A. V., Dec 2025, In: Automatic Control and Computer Sciences. 59, 7, p. 929-940 12 p.

    Research output: Contribution to journal › Article › peer-review

  3. Keyword Generation for Russian-Language Scientific Texts Using the mT5 Model

    Glazkova, A. V., Morozov, D. A., Vorobeva, M. S. & Stupnikov, A. A., 12 Feb 2025, In: Automatic Control and Computer Sciences. 58, 7, p. 995-1002 8 p.

    Research output: Contribution to journal › Article › peer-review

  4. Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases

    Glazkova, A., Morozov, D. & Garipov, T., 15 Apr 2025, Lecture Notes in Computer Science. Springer, p. 107-119 13 p. (Lecture Notes in Computer Science; vol. 15419 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. Hierarchical Classification of Scientific Articles Using Deep Learning (Using the UDC Hierarchy As an Example)

    Мамедов, В. Ю., Ковалевский, Д. А., Морозов, Д. А., Столяров, С. С. & Оспичев, С. С., Dec 2025, In: Automatic Control and Computer Sciences. 59, 7, p. 1181-1192 12 p.

    Research output: Contribution to journal › Article › peer-review

  6. Generalization Ability of CNN-Based Morpheme Segmentation

    Garipov, T., Morozov, D. & Glazkova, A., 2023, Proceedings - Ivannikov ISPRAS Open Conference. Avetisyan, A. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 58-62 5 p. (Proceedings - Ivannikov ISPRAS Open Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Exploring the Feature Space for Cross-Domain Assessing the Complexity of Russian-Language Texts

    Morozov, D., Lagutina, K., Drozhashchikh, G., Garipov, T. & Glazkova, A., 2024, Proceedings - Ivannikov ISPRAS Open Conference. Institute of Electrical and Electronics Engineers Inc., 8 p. (Proceedings - Ivannikov ISPRAS Open Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Exploring Fine-Tuned Generative Models for Keyphrase Selection: A Case Study for Russian

    Glazkova, A. & Morozov, D., 2026, Data Analytics and Management in Data Intensive Domains. Pardalos, P., Babkin, E., Zolotykh, N. & Stupnikov, S. (eds.). Springer, p. 98-111 14 p. 7. (Communications in Computer and Information Science; vol. 2641 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Cross-Domain Robustness of Transformer-Based Keyphrase Generation

    Glazkova, A. & Morozov, D., 2024, Communications in Computer and Information Science. Springer, p. 249-265 17 p. 19. (Communications in Computer and Information Science; vol. 2086 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Can LLMs Get to the Roots? Evaluating Russian Morpheme Segmentation Capabilities in Large Language Models

    Морозов, Д. А., Glazkova, A. V. & Iomdin, B. L., 25 Dec 2025, In: Supercomputing Frontiers and Innovations. 12, 3, p. 63-75 13 p.

    Research output: Contribution to journal › Article › peer-review

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