计算机工程与应用2018，Vol.54Issue(8)：220-225,235,7.DOI:10.3778/j.issn.1002-8331.1611-0326
基于SAO结构的非分类关系抽取研究
Extraction of non-taxonomic relations based on SAO structure
摘要
Abstract
In order to solve the problem of relation recognition in the extraction of the non-taxonomic relation,this paper proposes a recognition method that combines the Subject-Action-Object(SAO)structure and the dependency syntax.The method transforms the extraction of the non-taxonomic relation in Chinese patent domain into the recognition problem of SAO structure.The recognition problem of relation can be solved by the verbs information in the SAO structure,and on this basis,the traditional features are combined with the dependency strength that is gotten from the dependency syntax. And then,the validity of new features,word features,context features and distance features are verified and analyzed.The experimental results not only indicate that this method is superior to traditional methods,but also verify the feasibility of the dependency syntax in the extraction of the non-taxonomic relation.关键词
SAO结构/非分类关系/关系抽取/依存句法Key words
Subject-Action-Object(SAO)structure/non-taxonomic relation/relation extraction/dependency syntax分类
信息技术与安全科学引用本文复制引用
马勋,周长胜,吕学强,周建设..基于SAO结构的非分类关系抽取研究[J].计算机工程与应用,2018,54(8):220-225,235,7.基金项目
国家自然科学基金(No.61271304,No.61671070) （No.61271304,No.61671070）
北京成像技术高精尖创新中心项目(No.BAICIT-2016003) （No.BAICIT-2016003）
国家社会科学基金(No.14@ZH036) （No.14@ZH036）
国家社科基金重大项目(No.15ZDB017). （No.15ZDB017）
