BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition Naseem, U, Khushi, M, Reddy, V, Rajendran, S, Razzak, Muhammad Imran and Kim, J 2021, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, in IJCNN 2021: Proceedings of the International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 1-7, doi: 10.1109/IJCNN52387.2021.9533884. Attached Files Name Description MIMEType Size Downloads Title BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition Author(s) Naseem, U Khushi, M Reddy, V Rajendran, S Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600 Kim, J Conference name Neural networks. International joint conference (2021 : Shenzhen, China) Conference location Shenzhen, China Conference dates 2021/07/18 - 2021/07/22 Title of proceedings IJCNN 2021: Proceedings of the International Joint Conference on Neural Networks Editor(s) [Unknown] Publication date 2021 Start page 1 End page 7 Total pages 7 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) CORE2020 A ISBN 9780738133669 ISSN 2161-4393 2161-4407 Language eng DOI 10.1109/IJCNN52387.2021.9533884 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30157399 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 20 Oct 2021, 12:11:39 EST Wed, 20 Oct 2021, 15:08:22 EST Wed, 20 Oct 2021, 15:19:31 EST Thu, 21 Oct 2021, 15:33:57 EST Thu, 21 Oct 2021, 15:42:03 EST Thu, 21 Oct 2021, 15:45:08 EST Thu, 21 Oct 2021, 15:48:34 EST Sat, 22 Jan 2022, 01:33:15 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 70 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 20 Oct 2021, 12:11:39 EST