计算机工程2009，Vol.35Issue(22)：197-199,3.
基于条件随机域的生物命名实体识别
Biological Named Entity Recognition Based on Conditional Random Fields
摘要
Abstract
A biological named entity recognition method based on Conditional Random Fields(CRF) is proposed, which combines the word characteristics and the distance between words. Experiments are carried out with GENIAV3.02 datasets given by JNLPBA. Experimental results show that, after introducing words distance characteristics, the proposed method can achieve a performance improvement of 2.54% compared to simple conditional random fields, therefore achieving a better recognition result and improve the efficiency of systems.关键词
生物命名实体识别/条件随机域/隐马尔科夫模型Key words
biological named entity recognition/Conditional Random Fields(CRF)/Hidden Markov Models(HMM)分类
信息技术与安全科学引用本文复制引用
彭春艳,张晖,包玲玉,陈昌平..基于条件随机域的生物命名实体识别[J].计算机工程,2009,35(22):197-199,3.基金项目
国家"863"计划基金资助项目(2007AA01Z151) （2007AA01Z151）
国家人事部留学归国人员择优基金资助项目 （）
西南科技大学博士科研基金资助项目(2007011022) （2007011022）
