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BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
[article]
2020
arXiv
pre-print
In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recognition (BioNER) has increased exponentially. However, BioNER research is challenging as NER in the biomedical domain are: (i) often restricted due to limited amount of training data, (ii) an entity can refer to multiple types and concepts depending on its context and, (iii) heavy reliance on acronyms that are
arXiv:2009.09223v1
fatcat:odojdp7bjzc6biupgmjyvv2d74