| 实体关系抽取的技术方法综述* |
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| 引用本文： | 徐健,张智雄,吴振新.实体关系抽取的技术方法综述*[J].现代图书情报技术,2008,24(8):18-23. |
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| 作者姓名： | 徐健 张智雄 吴振新 |
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| 作者单位： | 1. 中国科学院国家科学图书馆,北京,100190;中国科学院研究生院,北京,100049;中山大学资讯管理系,广州,510275
2. 中国科学院国家科学图书馆,北京,100190 |
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| 摘 要： | 对实体关系抽取研究以MUC和ACE评测为主线的发展进行总结,并指出实体关系抽取任务普遍存在的三个问题是特定领域标引数据集的获取、模式的获取以及共指消解。在对当前关系抽取的相关文献、系统和项目进行分析研究的基础上，将基于非结构化文本的实体关系抽取技术方法归纳为：基于模式匹配的关系抽取、基于词典驱动的关系抽取、基于机器学习的关系抽取、基于Ontology的关系抽取以及混合抽取方法，旨在为进一步构建实体关系抽取系统提供良好借鉴。
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| 关 键 词： | 实体关系抽取 信息抽取 关系抽取方法 |
| 收稿时间： | 2008-06-16 |
Review on Techniques of Entity Relation Extraction |
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| Xu Jian,Zhang Zhixiong,Wu Zhenxin.Review on Techniques of Entity Relation Extraction[J].New Technology of Library and Information Service,2008,24(8):18-23. |
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| Authors: | Xu Jian Zhang Zhixiong Wu Zhenxin |
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| Institution: | (National Science Library, Chinese Academy of Sciences, Beijing 100190, China)
（Graduate University of the Chinese Academy of Sciences, Beijing 100049,China）
（Department of Information Management，Sun Yat-Sen University, Guangzhou 510275,China） |
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| Abstract: | 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. |
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| Keywords: | Entity relation extraction Information extraction Relation extraction methods |
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