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ORCIDElena Tutubalina
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2020 – today
- 2024
[j19]Rezarta Islamaj
, Po-Ting Lai, Chih-Hsuan Wei, Ling Luo, Tiago Almeida, Richard A. A. Jonker, Sofia I R. Conceição, Diana F. Sousa, Cong-Phuoc Phan, Jung-Hsien Chiang, Jiru Li, Dinghao Pan, Wilailack Meesawad, Richard Tzong-Han Tsai, M. Janina Sarol, Gibong Hong, Airat Valiev, Elena Tutubalina, Shao-Man Lee, Yi-Yu Hsu, Mingjie Li, Karin Verspoor, Zhiyong Lu:
The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. Database J. Biol. Databases Curation 2024 (2024)- [j18]Vera Davydova, Huabin Yang, Elena Tutubalina:
Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task. J. Biomed. Informatics 149: 104555 (2024) - [j17]Jiang Bian, Yifan Peng, Eneida A. Mendonça, Imon Banerjee, Hua Xu, Hong Sun, Ye Ye, Casey Overby Taylor, Anália Maria Garcia Lourenço, Alejandro Rodríguez González, Elena Tutubalina:
Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. J. Biomed. Informatics 157: 104703 (2024) - [j16]Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Igor Rozhkov, Artem Shelmanov, Elena Tutubalina, Alexey Yandutov:
NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links. Lang. Resour. Evaluation 58(2): 547-583 (2024) - [c59]Oleg Somov, Alexey Dontsov, Elena Tutubalina:
AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue. ClinicalNLP@NAACL 2024: 431-438 - [c58]Airat Valiev, Elena Tutubalina:
HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction. ClinicalNLP@NAACL 2024: 470-482 - [c57]Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Salvador Lima-López, Eulàlia Farré-Maduell, Martin Krallinger, Natalia V. Loukachevitch, Vera Davydova, Elena Tutubalina, Georgios Paliouras:
Overview of BioASQ 2024: The Twelfth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. CLEF (2) 2024: 3-27 - [c56]Vera Davydova, Natalia V. Loukachevitch, Elena Tutubalina:
Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024. CLEF (Working Notes) 2024: 28-34 - [c55]Mikhail Chaichuk, Elena Tutubalina:
MMCP Team at ImageCLEFmed MEDVQA-GI 2024 Task: Diffusion Models for Text-to-Image Generation of Colonoscopy Images. CLEF (Working Notes) 2024: 1533-1544 - [c54]Natalia V. Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina:
Biomedical Concept Normalization over Nested Entities with Partial UMLS Terminology in Russian. LREC/COLING 2024: 2383-2389 - [c53]Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, Martin Krallinger, Luis Gascó Sánchez, Salvador Lima-López, Eulàlia Farré, Natalia V. Loukachevitch, Vera Davydova, Elena Tutubalina:
BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. ECIR (5) 2024: 490-497 - [c52]Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Andrey V. Savchenko, Elena Tutubalina:
Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. Tiny Papers @ ICLR 2024 - [c51]Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin:
Gradual Optimization Learning for Conformational Energy Minimization. ICLR 2024 - [c50]Andrey Sakhovskiy, Natalia Semenova, Artur Kadurin, Elena Tutubalina:
Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer. NAACL-HLT (Findings) 2024: 4626-4643 - [e9]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - [i25]Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin:
∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. CoRR abs/2406.14347 (2024) - 2023
- [j15]Natalia V. Loukachevitch, Suresh Manandhar, Elina Baral, Igor Rozhkov, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Elena Tutubalina:
NEREL-BIO: a dataset of biomedical abstracts annotated with nested named entities. Bioinform. 39(4) (2023) - [j14]Andrey Sakhovskiy, Elena Tutubalina:
Cross-Lingual Transfer Learning in Drug-Related Information Extraction from User-Generated Texts. Program. Comput. Softw. 49(7): 590-595 (2023) - [c49]Andrey Sakhovskiy, Natalia Semenova, Artur Kadurin, Elena Tutubalina:
Graph-Enriched Biomedical Entity Representation Transformer. CLEF 2023: 109-120 - [c48]Mark Rofin, Vladislav Mikhailov, Mikhail Florinsky, Andrey Kravchenko, Tatiana Shavrina, Elena Tutubalina, Daniel Karabekyan, Ekaterina Artemova:
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. EACL 2023: 670-686 - [i24]Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin:
Gradual Optimization Learning for Conformational Energy Minimization. CoRR abs/2311.06295 (2023) - [i23]Vera Davydova, Huabin Yang, Elena Tutubalina:
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared task. CoRR abs/2311.08057 (2023) - [i22]Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov:
nach0: Multimodal Natural and Chemical Languages Foundation Model. CoRR abs/2311.12410 (2023) - 2022
- [j13]Ilseyar Alimova, Elena Tutubalina, Sergey I. Nikolenko:
Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. IEEE Access 10: 1432-1439 (2022) - [j12]Andrey Sakhovskiy, Elena Tutubalina:
Multimodal model with text and drug embeddings for adverse drug reaction classification. J. Biomed. Informatics 135: 104182 (2022) - [c47]Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko:
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. AAAI 2022: 11412-11420 - [c46]Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko:
RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) 2022: 239-245 - [c45]Vera Davydova, Elena Tutubalina:
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19. SMM4H@COLING 2022: 216-220 - [c44]Davy Weissenbacher, Juan M. Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez:
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. SMM4H@COLING 2022: 221-241 - [c43]Elena Tutubalina, Zulfat Miftahutdinov, Vladimir Muravlev, Anastasia Shneyderman:
A Comprehensive Evaluation of Biomedical Entity-centric Search. EMNLP (Industry Track) 2022: 596-605 - [c42]Daria Bakshandaeva, Oleg Somov, Ekaterina Dmitrieva, Vera Davydova, Elena Tutubalina:
PAUQ: Text-to-SQL in Russian. EMNLP (Findings) 2022: 2355-2376 - [c41]Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko:
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. LREC 2022: 4212-4220 - [c40]Natalia V. Loukachevitch, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Suresh Manandhar, Artem Shelmanov, Elena Tutubalina:
Entity Linking over Nested Named Entities for Russian. LREC 2022: 4458-4466 - [e8]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e7]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [i21]Ekaterina Artemova, Maxim Zmeev, Natalia V. Loukachevitch, Igor Rozhkov, Tatiana Batura, Vladimir Ivanov, Elena Tutubalina:
RuNNE-2022 Shared Task: Recognizing Nested Named Entities. CoRR abs/2205.11159 (2022) - [i20]Tatiana Shamardina, Vladislav Mikhailov, Daniil Cherniavskii, Alena Fenogenova, Marat Saidov, Anastasiya Valeeva, Tatiana Shavrina, Ivan Smurov, Elena Tutubalina, Ekaterina Artemova:
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian. CoRR abs/2206.01583 (2022) - [i19]Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko:
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. CoRR abs/2206.12514 (2022) - [i18]Mark Rofin, Vladislav Mikhailov, Mikhail Florinskiy, Andrey Kravchenko, Elena Tutubalina, Tatiana Shavrina, Daniel Karabekyan, Ekaterina Artemova:
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. CoRR abs/2210.05769 (2022) - [i17]Natalia V. Loukachevitch, Suresh Manandhar, Elina Baral, Igor Rozhkov, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Elena Tutubalina:
NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities. CoRR abs/2210.11913 (2022) - [i16]Andrey Sakhovskiy, Elena Tutubalina:
Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification. CoRR abs/2210.13238 (2022) - 2021
- [j11]Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko:
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. Bioinform. 37(2): 243-249 (2021) - [j10]Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina:
Medical concept normalization in clinical trials with drug and disease representation learning. Bioinform. 37(21): 3856-3864 (2021) - [j9]Arjun Magge, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne Dirkson, Suzan Verberne, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter. J. Am. Medical Informatics Assoc. 28(10): 2184-2192 (2021) - [c39]Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko:
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. AIST 2021: 23-36 - [c38]Ilseyar Alimova, Elena Tutubalina:
Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups. AIST 2021: 37-44 - [c37]Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina:
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. ECIR (1) 2021: 451-466 - [c36]Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina:
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events. RANLP 2021: 876-885 - [c35]Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez:
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT 2021: 21-32 - [c34]Andrey Sakhovskiy, Zulfat Miftahutdinov, Elena Tutubalina:
KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects. SMM4H@NAACL-HLT 2021: 39-43 - [e6]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e5]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [e4]Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré-Maduell, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez:
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, SMM4H@NAACL-HLT 2021, Mexico City, Mexico, June 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-31-2 [contents] - [i15]Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina:
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. CoRR abs/2101.09311 (2021) - [i14]Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina:
NEREL: A Russian Dataset with Nested Named Entities and Relations. CoRR abs/2108.13112 (2021) - [i13]Daria Bakshandaeva, Denis Dimitrov, Alex Shonenkov, Mark Potanin, Vladimir Arkhipkin, Denis Karachev, Vera Davydova, Anton Voronov, Mikhail Martynov, Natalia Semenova, Mikhail Stepnov, Elena Tutubalina, Andrey Chertok, Aleksandr Petiushko:
Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. CoRR abs/2111.10974 (2021) - [i12]Ilseyar Alimova, Elena Tutubalina:
Selection of pseudo-annotated data for adverse drug reaction classification across drug groups. CoRR abs/2111.12477 (2021) - [i11]Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko:
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. CoRR abs/2111.12956 (2021) - 2020
- [j8]Ilseyar Alimova, Elena Tutubalina:
Multiple features for clinical relation extraction: A machine learning approach. J. Biomed. Informatics 103: 103382 (2020) - [j7]Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. J. Intell. Fuzzy Syst. 39(2): 2487-2496 (2020) - [c33]Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura, Vladimir Ivanov, Veronika Sarkisyan, Elena Tutubalina, Ivan Smurov:
RuREBus: A Case Study of Joint Named Entity Recognition and Relation Extraction from E-Government Domain. AIST 2020: 19-27 - [c32]Valentin Malykh, Denis Porplenko, Elena Tutubalina:
Generating Sport Summaries: A Case Study for Russian. AIST 2020: 149-161 - [c31]Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko:
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. COLING 2020: 1886-1892 - [c30]Elena Tutubalina, Artur Kadurin, Zulfat Miftahutdinov:
Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models. COLING 2020: 6710-6716 - [c29]Andrey Sakhovskiy, Elena Tutubalina, Valery D. Solovyev, Marina Solnyshkina:
Topic Modeling as a Method of Educational Text Structuring. DeSE 2020: 399-405 - [c28]Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina:
On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts. ECIR (2) 2020: 281-288 - [c27]Ari Z. Klein, Ilseyar Alimova, Ivan Flores, Arjun Magge, Zulfat Miftahutdinov, Anne-Lyse Minard, Karen O'Connor, Abeed Sarker, Elena Tutubalina, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. SMM4H@COLING 2020: 27-36 - [c26]Zulfat Miftahutdinov, Andrey Sakhovskiy, Elena Tutubalina:
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions. SMM4H@COLING 2020: 51-56 - [c25]Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. WSDM 2020: 528-536 - [e3]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [e2]Graciela Gonzalez-Hernandez, Ari Z. Klein, Ivan Flores, Davy Weissenbacher, Arjun Magge, Karen O'Connor, Abeed Sarker, Anne-Lyse Minard, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova:
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@COLING 2020, Barcelona, Spain (Online), December 12, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-41-5 [contents] - [i10]Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko:
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews. CoRR abs/2004.03659 (2020) - [i9]Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. CoRR abs/2006.09766 (2020) - [i8]Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya, Vitaly Ivanin, Vladimir Ivanov, Veronika Sarkisyan, Ivan Smurov, Elena Tutubalina:
So What's the Plan? Mining Strategic Planning Documents. CoRR abs/2007.00257 (2020) - [i7]Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura, Vladimir Ivanov, Veronika Sarkisyan, Elena Tutubalina, Ivan Smurov:
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain. CoRR abs/2010.15939 (2020)
2010 – 2019
- 2019
- [j6]Ilseyar Alimova, Elena Tutubalina:
Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. Program. Comput. Softw. 45(8): 439-447 (2019) - [c24]Zulfat Miftahutdinov, Elena Tutubalina:
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. ACL (2) 2019: 393-399 - [c23]Ilseyar Alimova, Elena Tutubalina:
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks. ACL (2) 2019: 415-421 - [c22]Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin:
AspeRa: Aspect-Based Rating Prediction Based on User Reviews. WNLP@ACL 2019: 11-13 - [c21]Ilseyar Alimova, Elena Tutubalina:
Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models. WNLP@ACL 2019: 132-134 - [c20]Elena Tutubalina, Ilseyar Alimova, Valery D. Solovyev:
Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs. AIST 2019: 97-104 - [c19]Valentin Malykh, Anton Alekseev, Elena Tutubalina, Ilya Shenbin, Sergey I. Nikolenko:
Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction. AIST 2019: 166-178 - [c18]Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-Based Rating Prediction Model. ECIR (2) 2019: 163-171 - [c17]Ilseyar Alimova, Elena Tutubalina:
Comparative analysis of context representation models in the relation extraction task from biomedical texts. ITTCS 2019 - [c16]Nicolay Rusnachenko, Natalia V. Loukachevitch, Elena Tutubalina:
Distant Supervision for Sentiment Attitude Extraction. RANLP 2019: 1022-1030 - [c15]Ilseyar Alimova, Elena Tutubalina:
A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records. DAMDID/RCDL 2019: 34-45 - [c14]Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina:
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue. SMM4H@ACL 2019: 52-57 - [e1]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [i6]Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-based Rating Prediction Model. CoRR abs/1901.07829 (2019) - [i5]Zulfat Miftahutdinov, Elena Tutubalina:
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. CoRR abs/1907.07972 (2019) - [i4]Sergey I. Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded:
CommentsRadar: Dive into Unique Data on All Comments on the Web. CoRR abs/1908.07069 (2019) - [i3]Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. CoRR abs/1912.11160 (2019) - 2018
- [j5]Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Medical concept normalization in social media posts with recurrent neural networks. J. Biomed. Informatics 84: 93-102 (2018) - [j4]Elena Tutubalina, Sergey I. Nikolenko:
Exploring convolutional neural networks and topic models for user profiling from drug reviews. Multim. Tools Appl. 77(4): 4791-4809 (2018) - [j3]Yelena Mejova, Ekaterina Chernyak, Elena Tutubalina, Pavel Braslavski:
Report on the 12th Russian Summer School in Information Retrieval (RuSSIR 2018). SIGIR Forum 52(2): 100-104 (2018) - [i2]Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. CoRR abs/1811.11523 (2018) - 2017
- [j2]Elena Tutubalina, Sergey I. Nikolenko:
Demographic Prediction Based on User Reviews about Medications. Computación y Sistemas 21(2) (2017) - [c13]Ilseyar Alimova, Elena Tutubalina:
Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning. AIST 2017: 3-15 - [c12]Zulfat Miftahutdinov, Elena Tutubalina:
KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks. CLEF (Working Notes) 2017 - [c11]Zulfat Miftahutdinov, Elena Tutubalina:
Deep Learning for ICD Coding: Looking for Medical Concepts in Clinical Documents in English and in French. CLEF 2017: 203-215 - [i1]Elena Tutubalina, Zulfat Miftahutdinov:
An Encoder-Decoder Model for ICD-10 Coding of Death Certificates. CoRR abs/1712.01213 (2017) - 2016
- [c10]Elena Tutubalina, Sergey I. Nikolenko:
Constructing Aspect-Based Sentiment Lexicons with Topic Modeling. AIST 2016: 208-220 - [c9]Elena Tutubalina:
Identifying Product Failures from Reviews in Noisy Data by Distant Supervision. KESW 2016: 142-156 - [c8]Elena Tutubalina, Sergey I. Nikolenko:
Automated Prediction of Demographic Information from Medical User Reviews. MIKE 2016: 174-184 - [c7]Elena Tutubalina:
A Sentiment-Aware Topic Model for Extracting Failures from Product Reviews. TSD 2016: 37-45 - [c6]