Sentiment classification of reviews and twitter posts based on dictionaries. - Elena Tutubalina; Vladimir Ivanov 001; Mariya Zagulova; Nikita Mingazov; Ilseyar Alimova; Valentin Malykh (Russ. Digit. Libr. J., 2015)

Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning. - Ilseyar Alimova; Elena Tutubalina (AIST, 2017)

Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models. - Ilseyar Alimova; Elena Tutubalina (WNLP@ACL, 2019)

Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks. - Ilseyar Alimova; Elena Tutubalina (ACL (2), 2019)

Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs. - Elena Tutubalina; Ilseyar Alimova; Valery D. Solovyev (AIST, 2019)

Comparative analysis of context representation models in the relation extraction task from biomedical texts. - Ilseyar Alimova; Elena Tutubalina (ITTCS, 2019)

A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records. - Ilseyar Alimova; Elena Tutubalina (DAMDID/RCDL, 2019)

KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue. - Zulfat Miftahutdinov; Ilseyar Alimova; Elena Tutubalina (SMM4H@ACL, 2019)

Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. - Ilseyar Alimova; Elena Tutubalina (Program. Comput. Softw., 2019)

On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts. - Zulfat Miftahutdinov; Ilseyar Alimova; Elena Tutubalina (ECIR (2), 2020)

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. - 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 (SMM4H@COLING, 2020)

Multiple features for clinical relation extraction: A machine learning approach. - Ilseyar Alimova; Elena Tutubalina (J. Biomed. Informatics, 2020)

Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups. - Ilseyar Alimova; Elena Tutubalina (AIST, 2021)

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. - 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; et al. (SMM4H@NAACL-HLT, 2021)

The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. - Elena Tutubalina; Ilseyar Alimova; Zulfat Miftahutdinov; Andrey Sakhovskiy; Valentin Malykh; Sergey I. Nikolenko (Bioinform., 2021)

DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter. - Arjun Magge; Elena Tutubalina; Zulfat Miftahutdinov; Ilseyar Alimova; Anne Dirkson; Suzan Verberne; Davy Weissenbacher; Graciela Gonzalez-Hernandez (J. Am. Medical Informatics Assoc., 2021)

Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. - Ilseyar Alimova; Elena Tutubalina; Sergey I. Nikolenko (IEEE Access, 2022)

Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. - Konstantin Yakovlev; Gregory Polyakov; Ilseyar Alimova; Alexander Podolskiy; Andrey Bout; Sergey I. Nikolenko; Irina Piontkovskaya (SIGIR, 2023)

RuBia: A Russian Language Bias Detection Dataset. - Veronika Grigoreva; Anastasiia Ivanova; Ilseyar Alimova; Ekaterina Artemova (LREC/COLING, 2024)

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages. - Shamsuddeen Hassan Muhammad; Nedjma Ousidhoum; Idris Abdulmumin; Jan Philip Wahle; Terry Ruas; Meriem Beloucif; Christine de Kock; Nirmal Surange; Daniela Teodorescu; Ibrahim Said Ahmad; David Ifeoluwa Adelani; Alham Fikri Aji; et al. (ACL (1), 2025)

MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks. - Artem Chervyakov; Alexander Kharitonov; Pavel Zadorozhny; Adamenko Pavel; Rodion Levichev; Dmitrii Vorobev; Dmitrii Salikhov; Aidar Valeev; Alena Pestova; Maria Dziuba; Ilseyar Alimova; Artem Zavgorodnev; et al. (CoRR, 2025)