Zulfat Miftahutdinov

Orcid: 0000-0002-8467-4824

According to our database1, Zulfat Miftahutdinov authored at least 23 papers between 2017 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder.
CoRR, 2024

2023
nach0: Multimodal Natural and Chemical Languages Foundation Model.
CoRR, 2023

2022
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

A Comprehensive Evaluation of Biomedical Entity-centric Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

RuCCoN: Clinical Concept Normalization in Russian.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 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

Medical concept normalization in clinical trials with drug and disease representation learning.
Bioinform., 2021

KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 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

Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer.
Proceedings of the Advances in Information Retrieval, 2021

2020
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions.
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 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

Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
CommentsRadar: Dive into Unique Data on All Comments on the Web.
CoRR, 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

Deep Neural Models for Medical Concept Normalization in User-Generated Texts.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Medical concept normalization in social media posts with recurrent neural networks.
J. Biomed. Informatics, 2018

Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts.
CoRR, 2018

2017
An Encoder-Decoder Model for ICD-10 Coding of Death Certificates.
CoRR, 2017

Deep Learning for ICD Coding: Looking for Medical Concepts in Clinical Documents in English and in French.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks.
Proceedings of the Working Notes of CLEF 2017, 2017


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