Biomedical Named Entity Recognition Based on Multistage Three-Way Decisions

摘要：

　　Biomedical named entity recognition(Bio-NER)is one of the most fundamental tasks in the field of biomedical information extraction.The accuracy of biomedical named entity recognition is crucial to the follow-up research work.This paper presents a method for named entity recognition based on the concept of three-way decisions.The method uses a discriminative approach named conditional random fields(CRFs)to construct models.These models follow the decision-making rule of three-way decision in all stages,the model cannot make decision arbitrarily when the information is incomplete until it gets more information.The experimental results show that our method can improve the performance for biomedical named entity recognition compared with other methods.

关键词： Biomedical named entity recognition Conditional random fields Three-way decisions Decision-Theoretic Rough Sets

作者: Hecheng Yu Zhihua Wei Lijun Sun Zhifei Zhang

作者单位: Department of Computer Science and Technology,Tongji University,Shanghai,China;Key Laboratory of Emb Department of Computer Science and Technology,Tongji University,Shanghai,China;Research Center of Bi

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 513-524

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）