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Ilseyar Alimova
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2020 – today
- 2024
- [c13]Veronika Grigoreva, Anastasiia Ivanova, Ilseyar Alimova, Ekaterina Artemova:
RuBia: A Russian Language Bias Detection Dataset. LREC/COLING 2024: 14227-14239 - [i4]Veronika Grigoreva, Anastasiia Ivanova, Ilseyar Alimova, Ekaterina Artemova:
RuBia: A Russian Language Bias Detection Dataset. CoRR abs/2403.17553 (2024) - 2023
- [c12]Konstantin Yakovlev
, Gregory Polyakov
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. SIGIR 2023: 2394-2398 - [i3]Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya:
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. CoRR abs/2311.08143 (2023) - 2022
- [j6]Ilseyar Alimova, Elena Tutubalina
Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. IEEE Access 10: 1432-1439 (2022) - 2021
- [j5]Elena Tutubalina
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. Bioinform. 37(2): 243-249 (2021) - [j4]Arjun Magge, Elena Tutubalina
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]Ilseyar Alimova, Elena Tutubalina
Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups. AIST 2021: 37-44 - [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
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT 2021: 21-32 - [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] - [i2]Ilseyar Alimova, Elena Tutubalina:
Selection of pseudo-annotated data for adverse drug reaction classification across drug groups. CoRR abs/2111.12477 (2021) - 2020
- [j3]Ilseyar Alimova, Elena Tutubalina
Multiple features for clinical relation extraction: A machine learning approach. J. Biomed. Informatics 103: 103382 (2020) - [c9]Zulfat Miftahutdinov
On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts. ECIR (2) 2020: 281-288 - [c8]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 - [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] - [i1]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
- [j2]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) - [c7]Ilseyar Alimova, Elena Tutubalina
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks. ACL (2) 2019: 415-421 - [c6]Ilseyar Alimova, Elena Tutubalina:
Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models. WNLP@ACL 2019: 132-134 - [c5]Elena Tutubalina
Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs. AIST 2019: 97-104 - [c4]Ilseyar Alimova, Elena Tutubalina:
Comparative analysis of context representation models in the relation extraction task from biomedical texts. ITTCS 2019 - [c3]Ilseyar Alimova, Elena Tutubalina:
A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records. DAMDID/RCDL 2019: 34-45 - [c2]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 - 2017
- [c1]Ilseyar Alimova, Elena Tutubalina
Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning. AIST 2017: 3-15 - 2015
- [j1]Elena Tutubalina, Vladimir Ivanov, Mariya Zagulova, Nikita Mingazov, Ilseyar Alimova, Valentin Malykh:
Sentiment classification of reviews and twitter posts based on dictionaries. Russ. Digit. Libr. J. 18(3-4): 138-162 (2015)
Coauthor Index
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