CrossRef Text and Data Mining
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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
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   Crossref logo
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Urdu Named Entity Recognition and Classification System Using Artificial Neural Network
ACM Transactions on Asian and Low-Resource Language Information Processing. 2018;17(1):1-13   Crossref logo
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An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
Information. 2022;13(3):137   Crossref logo
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
BMC Medical Informatics and Decision Making. 2019;19(S7):   Crossref logo
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LELNER: A Lightweight and Effective Low-resource Named Entity Recognition model
Knowledge-Based Systems. 2022;251:109178   Crossref logo
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Urdu Named Entity Recognition
ACM Transactions on Asian and Low-Resource Language Information Processing. 2020;19(1):1-13   Crossref logo
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Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic
Applied Sciences. 2021;11(22):11017   Crossref logo
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Improving Biomedical Named Entity Recognition with Syntactic Information
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Named Entity Recognition with Word Embeddings and Wikipedia Categories for a Low-Resource Language
ACM Transactions on Asian and Low-Resource Language Information Processing. 2017;16(3):1-19   Crossref logo
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Improving Biomedical Named Entity Recognition with Label Re-correction and Knowledge Distillation
. 2020;   Crossref logo
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