Product Named Entity Recogintion Using Conditional Random Fields

摘要：

For Product Named Entity Recognition, Conditional Random Fields model is used in this paper. By introducing the domain ontology features to the CRFs model can improve the performance of Product Named Entity Recognition, and experiments were made to compare the two kinds of feature templates. Empirical results show that the PNER based on CRFs model with ontology features can achieve good performance. However, the Imperfect of Domain Ontology leads to the product named entity recognition may be not better than the research of other previous scholars using other methods for traditional named entity recognition.

关键词： PNER Domain Ontology CRFs Feature Selection

作者: Fang Luo Han Xiao Weili Chang

作者单位: Department of Computer Science and TechnologyWuhan University of TechnologyWuhan, Hubei, China Department of Computer Science and Technology Wuhan University of Technology Wuhan, Hubei, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Business Intelligence and Financial Engineering(第四届商务智能与金融工程国际会议 BIFE2011)

会议地点: 武汉

会议语种:英文

页码: 86-89

在线出版日期: 2011-10-17（万方平台首次上网日期，不代表论文的发表时间）