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Zulfat Miftahutdinov
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2020 – today
- 2023
- [i7]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
- [c14]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 - [c13]Elena Tutubalina, Zulfat Miftahutdinov, Vladimir Muravlev, Anastasia Shneyderman:
A Comprehensive Evaluation of Biomedical Entity-centric Search. EMNLP (Industry Track) 2022: 596-605 - [c12]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 - 2021
- [j4]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) - [j3]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) - [j2]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) - [c11]Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina:
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. ECIR (1) 2021: 451-466 - [c10]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 - [c9]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 - [e2]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] - [i6]Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina:
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. CoRR abs/2101.09311 (2021) - 2020
- [c8]Elena Tutubalina, Artur Kadurin, Zulfat Miftahutdinov:
Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models. COLING 2020: 6710-6716 - [c7]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 - [c6]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 - [c5]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 - [e1]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] - [i5]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)
2010 – 2019
- 2019
- [c4]Zulfat Miftahutdinov, Elena Tutubalina:
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. ACL (2) 2019: 393-399 - [c3]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 - [i4]Zulfat Miftahutdinov, Elena Tutubalina:
Deep Neural Models for Medical Concept Normalization in User-Generated Texts. CoRR abs/1907.07972 (2019) - [i3]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) - 2018
- [j1]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) - [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
- [c2]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 - [c1]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)
Coauthor Index
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