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Deep Neural Models for Medical Concept Normalization in User-Generated Texts.

, и . ACL (2), стр. 393-399. Association for Computational Linguistics, (2019)

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Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models., , и . COLING, стр. 6710-6716. International Committee on Computational Linguistics, (2020)KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions., , и . SMM4H@COLING, стр. 51-56. Association for Computational Linguistics, (2020)KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects., , и . SMM4H@NAACL-HLT, стр. 39-43. Association for Computational Linguistics, (2021)Deep Neural Models for Medical Concept Normalization in User-Generated Texts., и . ACL (2), стр. 393-399. Association for Computational Linguistics, (2019)KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks., и . CLEF (Working Notes), том 1866 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer., , , и . ECIR (1), том 12656 из Lecture Notes in Computer Science, стр. 451-466. Springer, (2021)Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking., , , , , , , , , и . LREC, стр. 4212-4220. European Language Resources Association, (2022)Deep Learning for ICD Coding: Looking for Medical Concepts in Clinical Documents in English and in French., и . CLEF, том 11018 из Lecture Notes in Computer Science, стр. 203-215. Springer, (2017)Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021., , , , , , , , , и 6 other автор(ы). SMM4H@NAACL-HLT, стр. 21-32. Association for Computational Linguistics, (2021)nach0: Multimodal Natural and Chemical Languages Foundation Model., , , , , , , , , и . CoRR, (2023)