BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Author:
Affiliation:
1. Department of Computer Science and Engineering, Korea University, Seoul, Korea
2. Clova AI Research, Naver Corp, Seong-Nam, Korea
3. Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, Korea
Abstract
Funder
National Research Foundation of Korea
NRF
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz682/30132027/btz682.pdf
Reference38 articles.
1. Publicly available clinical bert embeddings;Alsentzer;Proceedings of the 2nd Clinical Natural Language Processing Workshop, Minneapolis, MN, USA,2019
2. Automatic extraction of gene-disease associations from literature using joint ensemble learning;Bhasuran;PLoS One,2018
3. Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research;Bravo;BMC Bioinformatics,2015
4. Bert: pre-training of deep bidirectional transformers for language understanding;Devlin;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Minneapolis, MN, USA,2019
5. NCBI disease corpus: a resource for disease name recognition and concept normalization;Doğan;J. Biomed. Inform,2014
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