关系抽取技术的发展与应用——以生物信息学为例

Development and Applications of Relation Extraction Technology——Taking Bioinformatics as an Example

关系抽取是文本挖掘的一项重要研究内容,它能够反映命名实体之间的关系,有助于发现隐含在大量数据和文本中的知识。以生物信息学为例,重点论述了国内外关系抽取技术的研究进展、常用技术与方法及应用,并对未来关系抽取技术的发展进行了展望。

Relation extraction is an important task in text mining, it can reflect the relationship between the named entities and is helpful to find implicit knowledge in the substantial data and text. This article focuses on the development of relation extraction technology, its research methods and applications in bioinformatics.