1 - 10 out of 17Page size: 10
Sort by: Title

  1. Кто поймет «Незнайку»? Автоматическое определение сложности текстов для детей

    Иодмин, Б. Л. & Morozov, D. A., 2021, In: Russkaya Rech. 5, p. 55-68 14 p., 4.

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

  2. Иерархическая классификация научных статей при помощи глубокого обучения (на примере иерархии УДК)

    Mamedov, V. Y., Kovalevsky, D. A., Morozov, D., Stolyarov, S. S. & Ospichev, S. S., 2025, In: Modeling and Analysis of Information Systems. 32, 1, p. 80-94 15 p.

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

  3. Генерация ключевых слов для аннотаций русскоязычных научных статей

    Морозов, Д. А., Glazkova, A., Тютюльников, М. А. & Iomdin, B., 2023, In: Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 21, 1, p. 54-66 13 p.

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

  4. Text complexity and linguistic features: their correlation in English and Russian

    Morozov, D. A., Glazkova, A. V. & Iomdin, B. L., 2022, In: Russian Journal of Linguistics. 26, 2, p. 426-448 23 p., 7.

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

  5. Out-of-Dictionary Meanings Detecting Using Word-Sense Disambiguation Algorithms

    Borodina, D. & Morozov, D., 2026, Communications in Computer and Information Science. Bakaev, M., Bolgov, R., Chizhik, A., Chugunov, A., Kabanov, Y., Pereira, R., R, E. & Zhang, W. (eds.). Springer, Vol. 2534. p. 85-104 20 p. 8

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

  6. Multi-task fine-tuning for generating keyphrases in a scientific domain

    Glazkova, A. & Morozov, D., 2023, Proceedings - 9th IEEE International Conference on Information Technology and Nanotechnology, ITNT 2023. Institute of Electrical and Electronics Engineers Inc., (Proceedings - 9th IEEE International Conference on Information Technology and Nanotechnology, ITNT 2023).

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

  7. 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

  8. 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

  9. 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

  10. 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

Previous 1 2 Next

ID: 3528638