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  1. 2022

  2. nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset

    Khrabrov, K., Shenbin, I., Ryabov, A., Tsypin, A., Telepov, A., Alekseev, A., Grishin, A., Strashnov, P., Zhilyaev, P. & Nikolenko, S., 2022, In: Physical chemistry chemical physics. 24, 42, p. 25853-25863 11 p.

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

  3. 2021

  4. Cross-domain Limitations of Neural Models on Biomedical Relation Classification

    Alimova, I., Tutubalina, E. & Nikolenko, S. I., 2021, In: IEEE Access. 10, p. 1432-1439

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

  5. Word-Based Russian Text Augmentation for Character-Level Models

    Galinsky, RB., Alekseev, AM. & Nikolenko, SI., 2021, In: Записки научных семинаров ПОМИ. 499, p. 206-221 16 p.

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

  6. 2020

  7. RecVAE: A new variational autoencoder for top-n recommendations with implicit feedback

    Shenbin, I., Alekseev, A., Tutubalina, E., Malykh, V. & Nikolenko, S. I., 20 Jan 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 528-536 9 p. (WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining).

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

  8. Recognizing preferred grammatical gender in russian anonymous online confessions

    Alekseev, A. & Nikolenko, S., 1 Jan 2020, Text, Speech, and Dialogue (TSD 2020). Springer Nature, p. 222-230 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12284).

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

  9. Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification

    Alekseev, A., Tutubalina, E., Malykh, V. & Nikolenko, S., 2020, In: Journal of Intelligent and Fuzzy Systems. 39, 2, p. 2487-2496 10 p.

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

  10. 2019

  11. AspeRa: Aspect-based rating prediction model

    Nikolenko, S. I., Tutubalina, E., Malykh, V., Shenbin, I. & Alekseev, A., 2019, Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings. Mayr, P., Hauff, C., Stein, B., Fuhr, N., Azzopardi, L. & Hiemstra, D. (eds.). Springer Nature, p. 163-171 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11438 LNCS).

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

  12. Wear the right head: Comparing strategies for encoding sentences for aspect extraction

    Malykh, V., Alekseev, A., Tutubalina, E., Shenbin, I. & Nikolenko, S., 2019, Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Revised Selected Papers. van der Aalst, W. M. P., Batagelj, V., Ignatov, D. I., Kuskova, V., Kuznetsov, S. O., Lomazova, I. A., Khachay, M., Kutuzov, A., Loukachevitch, N., Napoli, A., Pardalos, P. M., Pelillo, M., Savchenko, A. V. & Tutubalina, E. (eds.). Springer Nature, p. 166-178 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11832 LNCS).

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

  13. 2017

  14. Improving neural network models for natural language processing in Russian with synonyms

    Galinsky, R., Alekseev, A. & Nikolenko, S. I., 3 Apr 2017, Proceedings of the AINL FRUCT 2016 Conference. Filchenkov, A., Zizka, J., Pivovarova, L. & Balandin, S. (eds.). Institute of Electrical and Electronics Engineers Inc., 7891856. (Proceedings of the AINL FRUCT 2016 Conference).

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

  15. Predicting the age of social network users from user-generated texts with word embeddings

    Alekseev, A. & Nikolenko, S. I., 3 Apr 2017, Proceedings of the AINL FRUCT 2016 Conference.

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

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