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http://bura.brunel.ac.uk/handle/2438/27041
Title: | BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition |
Authors: | Naseem, U Khushi, M Reddy, V Rajendran, S Razzak, I Kim, J |
Keywords: | biomedical named entity recognition;biomedical text mining;pre-trained language model |
Issue Date: | 16-Jul-2021 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Naseem, U. et al. (2021) 'BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition', Proceedings of the International Joint Conference on Neural Networks, Virtual, Shenzhen, China, 18-22 Jul. doi: y pp. 1 - 7. doi: 10.1109/IJCNN52387.2021.9533884. |
URI: | https://bura.brunel.ac.uk/handle/2438/27041 |
DOI: | https://doi.org/10.1109/IJCNN52387.2021.9533884 |
ISBN: | 978-1-6654-3900-8 (ebk) 978-1-6654-4597-9 (PoD) |
ISSN: | 2161-4393 |
Other Identifiers: | ORCID iD: Matloob Khushi https://orcid.org/0000-0001-7792-2327 |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © The authors 2021. Archived under a Creative Commons (CC BY) Creative Commons (https://creativecommons.org/licenses/by/4.0/) on arXiv at arXiv:2009.09223v1 [cs.CL] for this version). https://doi.org/10.48550/arXiv.2009.09223 (see: https://arxiv.org/help/license). The version of record is available at https://doi.org/10.1109/IJCNN52387.2021.9533884, copyright © 2021 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | 422.48 kB | Adobe PDF | View/Open |
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