A Systematic Review on Biomedical Named Entity Recognition

被引：2
|
作者：
Kanimozhi, U. [1 ]
Manjula, D. [1 ]
机构：
[1] Anna Univ, Dept Comp Sci & Engn, Coll Engn, Madras, Tamil Nadu, India
来源：
DATA SCIENCE ANALYTICS AND APPLICATIONS, DASAA 2017 | 2018年 / 804卷
关键词：
Biomedical named entity recognition; Classification Machine learning;
D O I：
10.1007/978-981-10-8603-8_3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：19 / 37
页数：19
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