{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:47:22Z","timestamp":1776811642940,"version":"3.51.2"},"reference-count":27,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,5,13]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/jcm-225952","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T13:27:19Z","timestamp":1646141239000},"page":"893-900","source":"Crossref","is-referenced-by-count":1,"title":["A review of biomedical named entity recognition"],"prefix":"10.66113","volume":"22","author":[{"given":"Lu","family":"Chang","sequence":"first","affiliation":[{"name":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruihuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiguang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Veterinary College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunli","family":"Bai","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"03","key":"10.3233\/JCM-225952_ref1","first-page":"89","article-title":"Research and development of biomedical text mining","author":"Wang","year":"2008","journal-title":"Journal of Chinese Information Science."},{"issue":"04","key":"10.3233\/JCM-225952_ref2","first-page":"76","article-title":"Research progress of brucellosis between human and animal","volume":"37","author":"Yang","year":"2020","journal-title":"Chinese Journal of Animal Quarantine."},{"issue":"07","key":"10.3233\/JCM-225952_ref3","first-page":"73","article-title":"Research progress of brucellosis","volume":"37","author":"Ma","year":"2020","journal-title":"Chinese Journal of Animal Quarantine."},{"issue":"11","key":"10.3233\/JCM-225952_ref4","first-page":"21","article-title":"A review of named Entity Recognition based on deep learning","volume":"57","author":"He","year":"2021","journal-title":"Computer Engineering and Applications."},{"issue":"03","key":"10.3233\/JCM-225952_ref5","first-page":"329","article-title":"A review of named entity recognition","volume":"37","author":"Liu","year":"2018","journal-title":"Chinese Journal of Information Science."},{"issue":"04","key":"10.3233\/JCM-225952_ref6","first-page":"18","article-title":"A review of Chinese named entity Recognition research methods","author":"Li","year":"2021","journal-title":"Computer Age."},{"issue":"6","key":"10.3233\/JCM-225952_ref7","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/j.jbi.2004.08.003","article-title":"Improving the performance of dictionary-based approaches in protein name recognition","volume":"37","author":"Tsuruoka","year":"2004","journal-title":"Journal of Biomedical Informatics."},{"issue":"3","key":"10.3233\/JCM-225952_ref9","first-page":"251","article-title":"A review of named entity recognition technology","volume":"46","author":"Chen","year":"2020","journal-title":"Wireless Communication Technology."},{"key":"10.3233\/JCM-225952_ref11","unstructured":"Collobert R, Weston J, Bottou L. 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