The amount of biomedical textual information available in the web becomes more and more. It is very difficult to extract the right information that users are interested in considering the size of documents in the biomedical literatures and databases. It is nearly impossible for human to process all these data and it is even difficult for computers to extract the information since it is not stored in structured format. Identifying the named entities and classifying them can help in extracting the useful information in the unstructured text documents. This paper describes various approaches and techniques used for Named Entity Recognition in biomedical domain.
Kanimozhi, U., & Manjula, D. (2018). A Systematic Review on Biomedical Named Entity Recognition. In Communications in Computer and Information Science (Vol. 804, pp. 19–37). Springer Verlag. https://doi.org/10.1007/978-981-10-8603-8_3