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http://bura.brunel.ac.uk/handle/2438/27041Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Naseem, U | - |
| dc.contributor.author | Khushi, M | - |
| dc.contributor.author | Reddy, V | - |
| dc.contributor.author | Rajendran, S | - |
| dc.contributor.author | Razzak, I | - |
| dc.contributor.author | Kim, J | - |
| dc.coverage.spatial | Virtual, Shenzhen, China | - |
| dc.date.accessioned | 2023-08-24T07:08:33Z | - |
| dc.date.available | 2023-08-24T07:08:33Z | - |
| dc.date.issued | 2021-07-16 | - |
| dc.identifier | ORCID iD: Matloob Khushi https://orcid.org/0000-0001-7792-2327 | - |
| dc.identifier.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. | en_US |
| dc.identifier.isbn | 978-1-6654-3900-8 (ebk) | - |
| dc.identifier.isbn | 978-1-6654-4597-9 (PoD) | - |
| dc.identifier.issn | 2161-4393 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27041 | - |
| dc.description.sponsorship | 10.13039/100015015-Australian Government Research Training Program (RTP) | en_US |
| dc.format.extent | 1 - 7 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | 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 | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.source | 2021 International Joint Conference on Neural Networks (IJCNN) | - |
| dc.source | 2021 International Joint Conference on Neural Networks (IJCNN) | - |
| dc.subject | biomedical named entity recognition | en_US |
| dc.subject | biomedical text mining | en_US |
| dc.subject | pre-trained language model | en_US |
| dc.title | BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | https://doi.org/10.1109/IJCNN52387.2021.9533884 | - |
| dc.relation.isPartOf | Proceedings of the International Joint Conference on Neural Networks | - |
| pubs.finish-date | 2021-07-22 | - |
| pubs.finish-date | 2021-07-22 | - |
| pubs.publication-status | Published | - |
| pubs.start-date | 2021-07-18 | - |
| pubs.start-date | 2021-07-18 | - |
| pubs.volume | 2021-July | - |
| dc.identifier.eissn | 2161-4407 | - |
| dc.rights.holder | The authors | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 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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