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Active Learning for Abstractive Text Summarization


Jan 09, 2023
Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov

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* Accepted at EMNLP-2022 Findings 

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Medical Image Captioning via Generative Pretrained Transformers


Sep 28, 2022
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov

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* 13 pages, 3 figures, The work was completed in 2021 

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NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization


Jun 02, 2022
Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh

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* Published in the proceedings of the conference "Artificial Intelligence in Medicine 2022" 

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Towards Computationally Feasible Deep Active Learning


May 07, 2022
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov

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* Accepted at NAACL-2022 Findings 

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Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates


Feb 18, 2021
Artem Shelmanov, Dmitri Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko

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* In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL-2021) 

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Neural Entity Linking: A Survey of Models based on Deep Learning


May 31, 2020
Ozge Sevgili, Artem Shelmanov, Mikhail Arkhipov, Alexander Panchenko, Chris Biemann

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Word Sense Disambiguation for 158 Languages using Word Embeddings Only


Mar 14, 2020
Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko

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* 10 pages, 5 figures, 4 tables, accepted at LREC 2020 

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