Ekaterina Artemova

Publications⁶⁰

• 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
• Chapter Shelmanov A., Puzyrev D. A., Kupriyanova L., Belyakov D., Larionov D., Khromov N., Kozlova O., Artemova E., Dylov D., Panchenko A. Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics Vol. 16. Online: Association for Computational Linguistics, 2021. P. 1698 1712-1712.
• Chapter Kushnareva L., Cherniavskii D., Mikhailov V., Artemova E., Barannikov S., Bernstein A., Piontkovskaya I., Piontkovski D., Burnaev E. Artificial Text Detection via Examining the Topology of Attention Maps, in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2021. P. 635-649.
• Chapter Glushkova T., Machnev A., Fenogenova A., Shavrina T., Artemova E., Ignatov D. I. DaNetQA: a yes/no Question Answering Dataset for the Russian Language, in: Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers (LNCS 12602) Vol. 12602: LNCS. Springer Publishing Company, 2021. P. 57-68. doi
• Chapter Artemova E. Deep Learning for the Russian Language, in: The Palgrave Handbook of Digital Russia Studies / Ed. by D. Gritsenko, M. Wijermars, M. Kopotev. Palgrave Macmillan, 2021. doi Ch. 26. P. 465-481. doi
• Chapter Mikhailov V., Serikov O., Artemova E. Morph Call: Probing Morphosyntactic Content of Multilingual Transformers, in: Proceedings of the Third Workshop on Computational Typology and Multilingual NLP. Online: Association for Computational Linguistics, 2021. Ch. 10. P. 97-121.
• Chapter Mikhailov V., Serikov O., Artemova E. Morph Call: Probing Morphosyntactic Content of Multilingual Transformers, in: Proceedings of the Third Workshop on Computational Typology and Multilingual NLP. Online: Association for Computational Linguistics, 2021. P. 97-121.
• Chapter Loukachevitch N., Artemova E., Batura T., Braslavski P., Denisov I., Ivanov V., Manandhar S., Pugachev Alexander, 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 Podolskiy A., Lipin D., Bout A., Artemova E., Piontkovskaya I. Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection, in: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. Technical Tracks 15 Vol. 15. Issue 35. AAAI Press, 2021. P. 13675-13682.
• Chapter Mikhailov V., Такташева Е. В., Сигдел Э. С., Artemova E. RuSentEval: Linguistic Source, Encoder Force!, in: Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing. Online: Association for Computational Linguistics, 2021. P. 43-65.
• Chapter Sakhovskiy A., Izhevskaya 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.
• Chapter Fenogenova A., Тихонова М. И., Mikhailov V., Shavrina T., Emelyanov A., Shevelev D., Kukushkin A., Malykh V., Artemova E. Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP-models, in: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2021) Issue 20: Основной том. -, 2021. Ch. 21. P. 235-245. doi
• Chapter Burnyshev P., Malykh V., Bout A., Artemova E., Piontkovskaya I. Single Example Can Improve Zero-Shot Data Generation, in: Proceedings of the 14th International Conference on Natural Language Generation. Association for Computational Linguistics, 2021. Ch. 20. P. 201-211.
• Chapter Artemova E., Apishev M., Sarkisyan V., Aksenov S., Kirjanov D., Serikov O. Teaching a Massive Open Online Course on Natural Language Processing, in: Proceedings of the Fifth Workshop on Teaching NLP. Online: Association for Computational Linguistics, 2021. Ch. 2. P. 13-27.
• Article Артемова Е. Л., Максименко А. А., Охрименко Д. А. Применение методов машинного обучения для классификации контента коррупционной тематики в русскоязычных и англоязычных Интернет-СМИ // Социология: методология, методы, математическое моделирование. 2021. № 52. С. 131-157. doi
• Chapter Krotova I., Aksenov S., Artemova E. A Joint Approach to Compound Splitting and Idiomatic Compound Detection, in: Proceedings of The 12th Language Resources and Evaluation Conference Vol. 12. European Language Resources Association (ELRA), 2020. P. 4410-4417.
• Article Ekaterina Artemova, Bakarov A., Artemov A., Burnaev E. V., Sharaev M. Data-driven models and computational tools for neurolinguistics: a language technology perspective // Journal of Cognitive Science. 2020. Vol. 1. No. 21. P. 15-52. doi
• Preprint Klyuchnikov N., Trofimov I., Artemova E., Salnikov M., Fedorov M., Burnaev E. V. NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing / arXiv. Series arXiv:[cs.LG] "arXiv:[cs.LG]". 2020.
• Chapter Ivanin V., Artemova E., Batura T., Ivanov V., Sarkisyan V., Tutubalina E., Smurov I. RUREBUS-2020 Shared Task: Russian Relation Extraction for Business, in: Компьютерная лингвистика и интеллектуальные технологии: по материалам ежегодной международной конференции «Диалог» (Москва, 17–20 июня 2020 г.) / Ed. by В. Селегей. Issue 19(26): дополнительный том. -, 2020. P. 401-416.
• Chapter Artemova E., Batura T., Sarkisyan V., Tutubalina E., Smurov I. RuREBus-2020 Shared Task: Russian Relaton Extraction for Business, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.) / Под общ. ред.: В. Селегей. Вып. 19(26). М. : Изд-во РГГУ, 2020. P. 416-432.
• Chapter Shavrina T., Fenogenova A., Emelyanov A., Shevelev D., Artemova E., Malykh V., Mikhailov V., Tikhonova M., Chertok A., Evlampiev A. RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2020. P. 4717-4726.
• 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
• Chapter Malykh V., Chernis K., Artemova E., Piontkovskaya I. SumTitles: a Summarization Dataset with Low Extractiveness, in: Proceedings of the 28th International Conference on Computational Linguistics. Barcelona, Spain: International Committee on Computational Linguistics, 2020. Ch. 503. P. 5718-5730.
• Chapter Logacheva V., Teslenko D., Shelmanov A., Remus S., Ustalov D., Kutuzov A. B., Artemova E., Biemann C., Ponzetto S. P., Panchenko A. Word Sense Disambiguation for 158 Languages using Word Embeddings Only, in: Proceedings of The 12th Language Resources and Evaluation Conference Vol. 12. European Language Resources Association (ELRA), 2020. P. 5943-5952.
• Chapter Puzyrev D., Shelmanov A., Panchenko A., Artemova E. A Dataset for Noun Compositionality Detection for a Slavic Language, in: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019, Florence, Italy, Association for Computational Linguistics. Association for Computational Linguistics, 2019. P. 56-62. doi
• Chapter Artemova E., Harma A., Polyakov A. Active Learning for Conversational Interfaces in Healthcare Applications, in: Artificial Intelligence in Health. Springer Publishing Company, 2019. doi Ch. 3. P. 48-58. doi
• Chapter Popov D., Pugachev A., Svyatokum P., Svitanko E., Artemova E. Evaluation of Sentence Embedding Models for Natural Language Understanding Problems in Russian, in: Analysis of Images, Social Networks and Texts. 8th International Conference AIST 2019. Springer, 2019. P. 205-217. doi
• Chapter Emelyanov A., Artemova E. Gapping parsing using pretrained embeddings, attention mechanism and NCRF, in: Computational Linguistics and Intellectual Technologies Papers from the Annual International Conference “Dialogue” (2019) / Ed. by В. Селегей. Issue 18. M. : Russian State University for the Humanitie, 2019. P. 203-212.
• Chapter Emelyanov A., Artemova E. Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF, in: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019, Florence, Italy, Association for Computational Linguistics. Association for Computational Linguistics, 2019. P. 94-99. doi
• Chapter Puzyrev D. A., Shelmanov A., Panchenko A., Artemova E. Noun Compositionality Detection using Distributional Semantics for the Russian Language, in: Analysis of Images, Social Networks and Texts. 8th International Conference AIST 2019. Springer, 2019. P. 218-229. doi
• Book Wohlgenannt G., von Waldenfels R., Toldova S., Rakhilina E. V., Lyashevskaya O., Loukachevitch N. V., Artemova E. Proceedings of Third Workshop "Computational linguistics and language science" Issue 4. Manchester : EasyChair, 2019. doi
• Chapter Алексейчук Н. Н., Sarkisyan V., Emelyanov A., Artemova E. Processing and Analysis of Russian Strategic Planning Programs, in: Digital Transformation and Global Society. Fourth International Conference, DTGS 2019, St. Petersburg, Russia, June 19–21, 2019, Revised Selected Papers / Ed. by Y. Kabanov. Springer, 2019. doi P. 68-81. doi
• Chapter Shishkova A., Artemova E. Annotated Suffix Tree Method for German Compound Splitting, in: CLLS 2016. Computational Linguistics and Language Science. Proceedings of the Workshop on Computational Linguistics and Language Science. Moscow, Russia, April 26, 2016 / Ed. by E. Artemova, D. Ilvovsky, D. Skorinkin, A. Vybornova. Vol. 1886. Aachen : CEUR Workshop Proceedings, 2017. P. 42-47.
• Chapter Пономарева М. А., Milintsevich K., Artemova E., Starostin A. Automated Word Stress Detection in Russian, in: Proceedings of the First Workshop on Subword and Character Level Models in NLP. Stroudsburg, PA : Association for Computational Linguistics, 2017. P. 31-35. doi
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  Book CLLS 2016. Computational Linguistics and Language Science. Proceedings of the Workshop on Computational Linguistics and Language Science. Moscow, Russia, April 26, 2016 / Ed. by E. Artemova, D. Ilvovsky, D. Skorinkin, A. Vybornova. Vol. 1886. Aachen : CEUR Workshop Proceedings, 2017.
• Chapter Artemova E. Comparison of String Similarity Measures for Obscenity Filtering, in: Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing. Stroudsburg, PA : Association for Computational Linguistics, 2017. P. 97-101.
• Article Ильвовский Д. А., Артемова Е. Л. Глубинное обучение для автоматической обработки текстов // Открытые системы. СУБД. 2017. № 2. С. 26-29.
• Chapter Artemova E., Ilvovsky D. Annotated suffix trees for text clustering, in: The 3d International Workshop on Concept Discovery in Unstructured Data (CDUD 2016). Proceedings of the Third Workshop on Concept Discovery in Unstructured Data co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), Moscow, Russia, July 18, 2016. CEUR Workshop Proceedings Vol. 1625. Aachen : CEUR Workshop Proceedings, 2016. P. 25-31.
• Chapter Wohlgenannt G., Artemova E., Ilvovsky D. Extracting social networks from literary text with word embedding tools, in: Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH). Osaka : , 2016. Ch. 4. P. 18-26.
• Chapter Galitsky B., Ilvovsky D., Artemova E., Kuznetsov S. Style and Genre Classification by Means of Deep Textual Parsing, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.) / Под общ. ред.: В. Селегей. Вып. 15. М. : Изд-во РГГУ, 2016. P. 171-181.
• Chapter Родин И. В., Artemova E., Dubov M., Mirkin B. Visualization of Dynamic Reference Graphs, in: Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing. Stroudsburg, PA : Association for Computational Linguistics, 2016. P. 34-38.
• Article Artemova E., Mirkin B. Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources // Annals of Data Science. 2015. Vol. 2. No. 1. P. 61-82.
• Chapter Artemova E. Some thoughts on using annotated suffix trees for Natural Language Processing, in: 2nd Workshop on Interactions Between Data Mining and Natural Language Processing, DMNLP 2015; Porto; Portugal; 7 September 2015 Issue 1410. Aachen : CEUR-WS, 2015. P. 5-18.
• Chapter Яковлев М. С., Артемова Е. Л. Using annotated suffix tree similarity measure for text summarisation // В кн.: Analysis of Large and Complex Data. Berlin : Springer, 2015. doi (in press)
• Chapter Ilvovsky D., Artemova E. Visualisation of Russian newspaper corpus by means of reference graphs, in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa / Ed. by S. Kuznetsov, B. W. Watson. Vol. 1552. Aachen : CEUR Workshop Proceedings, 2015. P. 1-9.
• Chapter Artemova E. A Method for Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources, in: Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014 / Ed. by Y. Shi, A. Lepskiy, F. T. Aleskerov. Vol. 31. Amsterdam : Elsevier, 2014. Ch. 22. P. 193-200.
• Chapter Mirkin B., Artemova E. An AST method for scoring string-to-text similiarity in semantic text analysis, in: Clusters, orders, trees: methods and applications. In Honor of Boris Mirkin's 70th Birthday / Ed. by F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin : Springer, 2014.
• Chapter Artemova E. An approach to the problem of annotation of research publications, in: Proceedings of The Eighth International Conference on Web Search and Data Mining. NY, United States of America : ACM, 2014. Ch. 58. P. 429-434.
• Chapter E. Morenko, Artemova E., Mirkin B. Conceptual maps: construction over a text collection and analysis, in: Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorskiy. Vol. 439. Berlin : Springer, 2014. P. 163-169.
• Article Артемова Е. Л., Миркин Б. Г. Меры релевантности строка-текст в проблеме рубрикации научных статей // Бизнес-информатика. 2014. № 2. С. 51-62.
• Article Ильвовский Д. А., Артемова Е. Л. Системы автоматической обработки текстов // Открытые системы. СУБД. 2014. № 01. С. 51-53.
• Chapter Artemova E., Mirkin B. Computationally refining a taxonomy by using annotated suffix trees over Wikipedia resources, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая - 2 июня 2013 г.). В 2-х т. Т. 2: Доклады специальных секций. Вып. 12(19). М. : РГГУ, 2013. P. 177-185.
• Chapter Дубов М. С., Артемова Е. Л. Аннотированные суффиксные деревья: особенности реализации // В кн.: Доклады всероссийской научной конференции АИСТ’2013 / Отв. ред.: Артемова Е. Л.; науч. ред.: Д. И. Игнатов, М. Ю. Хачай, О. Баринова. М. : Национальный открытый университет «ИНТУИТ», 2013. С. 49-57.
• Book Доклады всероссийской научной конференции АИСТ’2013 / Отв. ред.: Артемова Е. Л.; науч. ред.: Д. И. Игнатов, М. Ю. Хачай, О. Баринова. М. : Национальный открытый университет «ИНТУИТ», 2013.
• Chapter Артемова Е. Л., Миркин Б. Г. Использование ресурсов Интернета для построения таксономии // В кн.: Доклады всероссийской научной конференции АИСТ’2013 / Отв. ред.: Артемова Е. Л.; науч. ред.: Д. И. Игнатов, М. Ю. Хачай, О. Баринова. М. : Национальный открытый университет «ИНТУИТ», 2013. С. 36-48.
• Chapter Ignatov D. I., Kaminskaya A. Y., Bezzubtseva A. A., Artemova E., Blinkin K. N., Nedumov D. R., Chugunova O. N., Konstantinov A. V., Romashkin N. S., Strok F. V., Goncharova D., Yavorskiy R. CrowDM: the System for Collaborative Platform Data Analysis, in: EEML 2012 – Experimental Economics in Machine Learning / Ed. by R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. Leuven : Katholieke Universiteit Leuven, 2012. P. 61-71.
• Chapter Ignatov D. I., Kaminskaya A. Y., Bezzubtseva A. A., Artemova E., Blinkin K. N., Nedumov D. R., Chugunova O. N., Konstantinov A. V., Romashkin N. S., Strok F. V., Goncharova D., Poelmans J., Yavorskiy R. Mining Complex Data Generated by Collaborative Platforms, in: Перспективные направления исследований в области бизнес-информатики: Материалы XI международной конференции / Отв. ред.: N. Aseeva, O. Kozyrev.; Ed. by E. Babkin. Nizhny Novgorod : Higher School of Economics in Nizhny Novgorod, 2012. P. 7-17.
• Chapter Артемова Е. Л., Чугунова О. Н., Аскарова Ю. А., Насименто С., Миркин Б. Г. Автоматизация использования таксономий для аннотирования текстовых документов. // В кн.: Анализ изображений, сетей и текстов. Доклады всероссийской научной конференции АИСТ'12. Модели, алгоритмы и инструменты анализа данных; результаты и возможности для анализа изображений, сетей и текстов. Екатеринбург, 16 – 18 марта 2012 года / Науч. ред.: Д. И. Игнатов, Р. Э. Яворский. Вып. 1. М. : Национальный открытый университет «ИНТУИТ», 2012. С. 97-103.
• Article Миркин Б. Г., Артемова Е. Л., Чугунова О. Н. Метод аннотированного суффиксного дерева для оценки степени вхождения строк в текстовые документы // Бизнес-информатика. 2012. Т. 3. № 21. С. 31-41.
• Chapter Artemova E., Чугунова О. Н., Аскарова Ю. А., Nascimento S., Mirkin B. Abstracting concepts from text documents by using an ontology, in: CDUD – 2010: International Workshop on Concept Discovery in Unstructured Data. M. : Higher School of Economics Publishing House, 2011. P. 20-31.