Affiliations: [a] College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China | [b] Veterinary College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
Correspondence:
[*]
Corresponding author: Yunli Bai, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China. E-mail: baiyl@imau.edu.cn.
Abstract: Biomedical research on brucellosis has been a hot topic of discussion around the world. In the face of the complex literature, how to obtain the relevant research knowledge of brucellosis by biomedical experts has been a problem that researchers in this field have been working on. Firstly, identification of biomedical named entities is one part of the work. Named entity recognition is an important basic tool for information extraction, question answering system, syntactic analysis, machine translation and other application fields, and plays an important role in natural language processing technology. In this paper, the definition and methods of named entity recognition are discussed. Literature published between 2012 and 2020 is reviewed from China National Knowledge Infrastructure (CNKI), PubMed and other retrieval sources, and the results of different methods on different data sets are summarized. At the same time, this paper also introduces the biomedicine related data sets and evaluation methods to lay a foundation for the follow-up research.
Keywords: Biomedical, named entity recognition, research review, literature analysis, China National Knowledge Infrastructure
