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基于本体的产品命名实体识别研究
引用本文:罗芳,熊前兴,肖敏.基于本体的产品命名实体识别研究[J].武汉理工大学学报(信息与管理工程版),2011,33(6):948-952.
作者姓名:罗芳  熊前兴  肖敏
作者单位:武汉理工大学计算机科学与技术学院,湖北武汉,430063
基金项目:中央高校基本科研业务费专项基金资助项目
摘    要:论述了近年来国内外在常规命名实体识别方面研究工作的进展状况,针对其中最为关键的产品命名实体识别技术,考虑到领域本体对产品命名实体识别的支持,提出了将本体特征融入到统计模型中,结合词性特征、上下文特征,以及本体特征的多特征模型进行产品命名实体识别实验,实验结果证明,该方法能有效地提高产品命名实体识别的性能。

关 键 词:产品命名实体识别  领域本体  条件随机域  特征选择

Product Named Entity Recognition Based on Ontology
LUO Fang,XIONG Qianxing,XIAO Min.Product Named Entity Recognition Based on Ontology[J].Journal of Wuhan University of Technology(Information & Management Engineering),2011,33(6):948-952.
Authors:LUO Fang  XIONG Qianxing  XIAO Min
Affiliation:LUO Fang,XIONG Qianxing,XIAO Min Doctorial Candidate,School of Computer Science and Technology,WUT,Wuhan 430063,China.
Abstract:In recent years,there are a lot of research achievements in the field of NER(name entity recognition),while PNER(product named entity recognition) is just starting.With the rapid development of e-commerce,PNER becomes one of the key techniques of intelligent e-commerce.In the view of supporting domain ontology to PNER,a method of PNER was proposed,which combined CRF(conditional random field) model with domain ontology as a semantic feature besides word and part-of-speech features.Experiments were conducted ...
Keywords:PNER  domain ontology  CRF  feature selection  
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