摘要
英文农产品命名实体识别目前国内外研究得较少,提出了一种基于条件随机场模型(CRF)的英文农产品命名实体识别方法.在条件随机场中,该方法以词作为切分粒度,充分利用上下文和英文农产品名特有的指示信息作为分类特征进行建模.实验表明,该方法获得了较好的结果.
Recently,as the scarce research of named entity recognition of the products in English in the world,this paper proposes a method for the named entity recognition of the agricultural products in English based on the conditional random fields model.In the conditional random field,this paper adopts word as the grain processing unit,uses the context information and especial cue information of English product names as the features of recognition,and adopts the artificially constructed dictionary to build the model.A good result has been obtained by the experiment.
出处
《河南科学》
2011年第3期350-353,共4页
Henan Science
基金
河南省科技厅基础与前沿技术研究项目(102300410208)
商丘师范学院青年基金研究项目(2010QN11)
关键词
农产品
条件随机场
特征选择
命名实体识别
agricultural product
CRF
feature selection
named entity recognition
