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  1. 2022

  2. LiveJournal topic models and their improvement with contextualized representations for creating a model of hidden communities

    Мамаев, И. Д. & Митрофанова, О. А., 1 Nov 2022, In: International Journal of Open Information Technologies. 10, 11, p. 54-59 6 p.

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

  3. Automatically Ranked Russian Paraphrase Corpus for Text Generation

    Gudkov, V., Mitrofanova, O. & Filippskikh, E., 2022, Proceedings of the Fourth Workshop on Neural Generation and Translation. ACL, p. 54-59

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

  4. Нарратив и полилог в тематических моделях

    Митрофанова, О. А., 2022, Тезисы 50-й международной научной филологической конференции имени Людмилы Алексеевны Вербицкой. СПб: Издательство Санкт-Петербургского университета, p. 244

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

  5. Эксперименты по автоматическому выделению ключевых выражений в стилистически разнородных корпусах русскоязычных текстов

    Митрофанова, О. А. & Гаврилик, Д. А., 2022, (Accepted/In press) In: Общество. Коммуникация. Образование. 13, 4, 31 p.

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

  6. 2021

  7. E-hypertext Media Topic Model with Automatic Label Assignment

    Mitrofanova, O., Kriukova, A., Shulginov, V. & Shulginov, V., 2021, Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Revised Supplementary Proceedings. van der Aalst, W. M., Batagelj, V., Buzmakov, A., Ignatov, D. I., Kalenkova, A., Khachay, M., Koltsova, O., Kutuzov, A., Kuznetsov, S. O., Lomazova, I. A., Loukachevitch, N., Makarov, I., Napoli, A., Panchenko, A., Pardalos, P. M., Pelillo, M., Savchenko, A. V. & Tutubalina, E. (eds.). Springer Nature, p. 102-114 13 p. (Communications in Computer and Information Science; vol. 1357 CCIS).

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

  8. Topic modelling of the Russian corpus of Pikabu posts: Author-topic distribution and topic labelling

    Mitrofanova, O., Sampetova, V., Mamaev, I., Moskvina, A. & Sukharev, K., 2021, In: CEUR Workshop Proceedings. 2813, p. 101-116 16 p.

    Research output: Contribution to journal › Conference article › peer-review

  9. Using polyadic formal contexts for information extraction from natural language texts

    Bogatyrev, M. & Mitrofanova, O., 2021, In: CEUR Workshop Proceedings. 2813, p. 140-154 15 p.

    Research output: Contribution to journal › Conference article › peer-review

  10. КОРПУСНОЕ МОДЕЛИРОВАНИЕ ЯЗЫКОВ ДЛЯ СПЕЦИАЛЬНЫХ ЦЕЛЕЙ

    Захаров, В. П., Азарова, И. И., Митрофанова, О. А. & Хохлова, М. В., 2021, p. 1317-1318. 2 p.

    Research output: Contribution to conference › Paper

  11. СОВРЕМЕННЫЕ НЕЙРОСЕТЕВЫЕ МОДЕЛИ В АВТОМАТИЧЕСКОМ ИССЛЕДОВАНИИ ЛЕКСИЧЕСКИХ КОНСТРУКЦИЙ

    Митрофанова, О. А. & Хохлова, М. В., 2021, p. 1419-1420. 2 p.

    Research output: Contribution to conference › Paper

  12. 2020

  13. Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods

    Mamaev, I. & Mitrofanova, O., 18 Dec 2020, Proceedings of the Computational Models in Language and Speech Workshop (CMLS 2020) co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020), Kazan, Russia, November 12-13, 2020. p. 69-78 (CEUR Workshop Proceedings; vol. 2780).

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

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