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| Improving classification of low-resource COVID-19 literature by using Named Entity Recognition |
| Oscar Lithgow-Serrano, Joseph Cornelius, Vani Kanjirangat, Carlos-Francisco Méndez-Cruz, Fabio Rinaldi |
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Genomics Inform. 2021;19(3):e22 Published online September 30, 2021 DOI: https://doi.org/10.5808/gi.21018 |
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Improving classification of low-resource COVID-19 literature by using Named Entity Recognition Genomics & Informatics. 2021;19(3):e22  Urdu Named Entity Recognition and Classification System Using Artificial Neural Network ACM Transactions on Asian and Low-Resource Language Information Processing. 2017;17(1):1-13 Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2020; A Vietnamese Named Entity Recognition System for COVID-19 Articles 2022 IEEE MIT Undergraduate Research Technology Conference (URTC). 2022; An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19 Information. 2022;13(3):137 3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition 2022 International Joint Conference on Neural Networks (IJCNN). 2022; Improving clinical named entity recognition in Chinese using the graphical and phonetic feature BMC Medical Informatics and Decision Making. 2019;19(S7): A Word Representation to Improve Named Entity Recognition in Low-resource Languages 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). 2019; A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition 2020 IEEE International Conference on Knowledge Graph (ICKG). 2020; Named Entity Recognition Based on BERT-BiLSTM-SPAN in Low Resource Scenarios 2023 15th International Conference on Computer Research and Development (ICCRD). 2023; |
