Mining Biomedical Entity from Literature Based on CRF

被引:0
|
作者
Gong, Lejun [1 ]
Yang, Ronggen [2 ]
Feng, Jiacheng [1 ]
Yang, Geng [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Comp Sci & Technol, Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing 210003, Jiangsu, Peoples R China
[2] Jinling Inst Technol, Fac Informat Technol, Nanjing 211169, Jiangsu, Peoples R China
关键词
biomedical entity recognition; CRF; Feature selection; text mining; PROTEINS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid expansion of biomedical literatures, it provides an opportunity for mining biomedical knowledge from the huge amount of biomedical text. Entity recognition is a challenging task of biomedical text mining. In this work, we described a method to identify biomedical entity based on Conditional Random Fields(CRF). In the test dataset, the performance of the submitted method obtained the relatively satisfied performance. At the same time, we also develop a system with identified six class entities using different color representation Taken together, our method is promising for developing the technology of biomedical entity recognition.
引用
收藏
页码:1436 / 1439
页数:4
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