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Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models.

, , and . COLING, page 6710-6716. International Committee on Computational Linguistics, (2020)

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Identifying Product Failures from Reviews in Noisy Data by Distant Supervision.. KESW, volume 649 of Communications in Computer and Information Science, page 142-156. Springer, (2016)Clustering-based Approach to Multiword Expression Extraction and Ranking.. MWE@NAACL-HLT, page 39-43. The Association for Computer Linguistics, (2015)Graph-Enriched Biomedical Entity Representation Transformer., , , and . CLEF, volume 14163 of Lecture Notes in Computer Science, page 109-120. Springer, (2023)A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records., and . DAMDID/RCDL, volume 2523 of CEUR Workshop Proceedings, page 34-45. CEUR-WS.org, (2019)Deep Neural Models for Medical Concept Normalization in User-Generated Texts., and . ACL (2), page 393-399. Association for Computational Linguistics, (2019)Topic Modeling as a Method of Educational Text Structuring., , , and . DeSE, page 399-405. IEEE, (2020)KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects., , and . SMM4H@NAACL-HLT, page 39-43. Association for Computational Linguistics, (2021)Biomedical Concept Normalization over Nested Entities with Partial UMLS Terminology in Russian., , and . LREC/COLING, page 2383-2389. ELRA and ICCL, (2024)∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials., , , , , , , , , and 3 other author(s). CoRR, (2024)A Sentiment-Aware Topic Model for Extracting Failures from Product Reviews.. TSD, volume 9924 of Lecture Notes in Computer Science, page 37-45. Springer, (2016)