BioBERT-Based Model for COVID-Related Named Entity Recognition

Author:

Soni Govind,Verma Shikha,Sharan Aditi,Ahmad Owais

Publisher

Springer Nature Singapore

Reference24 articles.

1. Cho H, Lee H (2019) Biomedical named entity recognition using deep neural networks with contextual information. BMC Bioinform 20:1–11

2. Lee J, Yoon W, Kim S, Kim D, Kim S, So CH, Kang J (2019) BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics. https://doi.org/10.1093/bioinformatics/btz682

3. Wang X, Song X, Li B, Guan Y, Han J (2020) Comprehensive named entity recognition on cord-19 with distant or weak supervision. arXiv preprint arXiv:2003.12218

4. Zhao D, Li J, Feng Y, Ji H (2015) Natural language processing and Chinese computing. Springer

5. Das D, Katyal Y, Verma J, Dubey S, Singh A, Agarwal K, Bhaduri S, Ranjan R (2020) Information retrieval and extraction on covid-19 clinical articles using graph community detection and bio-BERT embeddings. In: Proceedings of the 1st workshop on NLP for COVID-19 at ACL 2020

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