关键词: SAO结构, 非分类关系, 关系抽取, 依存句法

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.

Key words: Subject-Action-Object（SAO） structure, non-taxonomic relation, relation extraction, dependency syntax