Elena Tutubalina

Publications¹⁷

• Article D. D. Bakshandaeva, Dimitrov D. V., Arkhipkin V. S., Shonenkov A. V., Potanin M. S., Karachev D. K., Kuznetsov A. V., A.D. Voronov, Petiushko A. A., V. F. Davydova, E. V. Tutubalina. Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition // Computer Optics. 2023. Vol. 47. No. 1. P. 185-195. doi
• Article Loukachevitch N., Manandhar S., Baral E., Rozhkov I., Braslavski P., Ivanov V., Batura T., Tutubalina E. NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities // Bioinformatics. 2023. Vol. 39. No. 4. Article btad161. doi
• Article Loukachevitch N., Artemova E., Batura T., Braslavski P., Ivanov V., Manandhar S., Pugachev A., Rozhkov I., Shelmanov A., Tutubalina E., Yandutov A. NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links // Language Resources and Evaluation. 2023 doi
• Chapter Rofin M., Mikhailov V., Florinsky M., Kravchenko A., Tutubalina E., Shavrina T., Karabekyan D., Artemova E. Vote’n’Rank: Revision of Benchmarking with Social Choice Theory, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Dubrovnik : Association for Computational Linguistics, 2023. P. 670-686.
• Article Alimova I., Tutubalina E., Nikolenko S. I. Cross-Domain Limitations of Neural Models on Biomedical Relation Classification // IEEE Access. 2022. Vol. 10. P. 1432-1439. doi
• Article Sakhovskiy A., Tutubalina E. Multimodal model with text and drug embeddings for adverse drug reaction classification // Journal of Biomedical Informatics. 2022. Vol. 135. Article 104182. doi
• Chapter Alekseev A., Tutubalina E., Kwon S., Nikolenko S. I. Near-Zero-Shot Suggestion Mining with a Little Help from WordNet, in: Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers / Ed. by E. Burnaev, D. I. Ignatov, S. Ivanov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, J. Saramäki, A. Savchenko, E. Tsymbalov, E. Tutubalina. Cham : Springer, 2022. doi P. 23-36. doi
• Chapter Alimova I., Tutubalina E. Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups, in: Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers / Ed. by E. Burnaev, D. I. Ignatov, S. Ivanov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, J. Saramäki, A. Savchenko, E. Tsymbalov, E. Tutubalina. Cham : Springer, 2022. doi P. 37-44. doi
• Article Banda J. M., Tekumalla R., Wang G., Yu J., Liu T., Ding Y., Artemova E., Tutubalina E., Chowell G. A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration // Epidemiologia. 2021. Vol. 2. No. 3. P. 315-324. doi
• Article Magge A., Tutubalina E., Miftahutdinov Z., Алимова И. С., Dirkson A., Verberne S., Weissenbacher D., Gonzalez-Hernandez G. DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter // Journal of the American Medical Informatics Association : JAMIA. 2021. Vol. 28. No. 10. P. 2184-2192. doi
• Chapter Malykh V., Porplenko D., Tutubalina E. Generating Sport Summaries: A Case Study for Russian, in: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, O. Koltsova, A. Kutuzov, Sergei O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 12602. Cham: Springer, 2021. doi P. 149-161. doi
• Chapter Loukachevitch N., Artemova E., Batura T., Braslavski P., Denisov I., Ivanov V., Manandhar S., Pugachev A., Tutubalina E. NEREL: A Russian Dataset with Nested Named Entities, Relations and Events, in: International Conference Recent Advances in Natural Language Processing, RANLP 2021. Shoumen, BULGARIA: Association for Computational Linguistics, 2021. P. 876-886.
• Chapter Sakhovskiy A., Izhevskaia A., Pestova A., Tutubalina E., Malykh V., Smurov I., Artemova E. RuSimpleSentEval-2021 Shared Task: Evaluating Sentence Simplification for Russian, in: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2021) Issue 20: Основной том. -, 2021. Ch. 161. P. 607-617.
• Article Tutubalina E., Алимова И. С., Мифтахутдинов З., Sakhovskiy A., Malykh V., Nikolenko S. I. The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews // Bioinformatics. 2021. Vol. 37. No. 2. P. 243-249. doi
• Article Alimova l., Tutubalina E. Multiple features for clinical relation extraction: A machine learning approach // Journal of Biomedical Informatics. 2020. Vol. 103. P. 1-9. doi
• Chapter Shenbin I., Alekseev A., Tutubalina E., Malykh V., Nikolenko S. I. RecVAE: A new variational autoencoder for top-n recommendations with implicit feedback, in: WSDM '20: Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM), 2020. doi P. 528-536. doi
• Chapter Artemova E., Batura T., Golenkovskaya A., Ivanin V., Ivanov V., Sarkisyan V., Smurov I., Tutubalina E. So What’s the Plan? Mining Strategic Planning Documents, in: Digital Transformation and Global Society. DTGS 2020 Vol. 1242. Springer, 2020. doi P. 208-222. doi