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New Technology of Library and Information Service  2008, Vol. 24 Issue (8): 18-23    DOI: 10.11925/infotech.1003-3513.2008.08.03
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Review on Techniques of Entity Relation Extraction
Xu Jian1,2,3  Zhang ZhixiongWu Zhenxin1
1 (National Science Library, Chinese Academy of Sciences, Beijing 100190, China)
2(Graduate University of the Chinese Academy of Sciences, Beijing 100049,China)
3(Department of Information Management,Sun Yat-Sen University, Guangzhou 510275,China)
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 Entity relation extraction is a very important task in text information extraction domain. It first summarizes the development of entity relation extraction related to MUC and ACE, and then points out that main difficulties exist in the process of relation extraction are acquisition of training dataset, acquisition of templates, and co-reference resolution. Based on the analysis of recent related literatures, systems and projects, it concludes the entity relation extraction methods as follows:templates method, lexicon driven method, machine learning method, Ontology driven method, and hybrid method. The analysis of these methods can help to build more efficient entity relation extraction system in further step.

Key wordsEntity relation extraction      Information extraction      Relation extraction methods     
Received: 16 June 2008      Published: 25 August 2008


Corresponding Authors: Xu Jian     E-mail:
About author:: Xu Jian,Zhang Zhixiong,Wu Zhenxin

Cite this article:

Xu Jian,Zhang Zhixiong,Wu Zhenxin. Review on Techniques of Entity Relation Extraction. New Technology of Library and Information Service, 2008, 24(8): 18-23.

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