Ilseyar Alimova

Orcid: 0000-0003-4528-6631

According to our database1, Ilseyar Alimova authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
RuBia: A Russian Language Bias Detection Dataset.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Cross-Domain Limitations of Neural Models on Biomedical Relation Classification.
IEEE Access, 2022

2021
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter.
J. Am. Medical Informatics Assoc., 2021

The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews.
Bioinform., 2021

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020
Multiple features for clinical relation extraction: A machine learning approach.
J. Biomed. Informatics, 2020

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020.
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020

On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts.
Proceedings of the Advances in Information Retrieval, 2020

2019
Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models.
Program. Comput. Softw., 2019

KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue.
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records.
Proceedings of the Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019), 2019

Comparative analysis of context representation models in the relation extraction task from biomedical texts.
Proceedings of the 6th International Young Scientists Conference on Information Technologies, 2019

Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2017
Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning.
Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2015
Sentiment classification of reviews and twitter posts based on dictionaries.
Russ. Digit. Libr. J., 2015


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