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中文摘要：
在这份报纸，我们建议一篇小说基于特征结构为递归的指导的图建模，并且使用它代表 postpositive 的语义关系在生物医学的文章的归属的结构。postpositive 的用法归属复杂、可变，特别三个范畴：象 postpositive 的现在分词短语，过去分词短语，和介词短语归属，它总是带自动分析的困难。我们总结这些范畴并且注解语义信息。与相关性结构相比，展示结构，是递归的指导了图，在生物医学的地里提高语义信息抽取。注解结果证明那张递归的指导的图是更合适的为生物医学的文章采矿提取复杂语义关系。
英文摘要：
In this paper we propose a novel model ＂recursive directed graph＂ based on feature structure, and apply it to represent the semantic relations of postpositive attributive structures in biomedical texts. The usages of postpositive attributive are complex and variable, especially three categories： present participle phrase, past participle phrase, and preposition phrase as postpositire attributive, which always bring the difficulties of automatic parsing. We summarize these categories and annotate the semantic information. Compared with dependency structure, feature structure, being recursive directed graph, enhances semantic information extraction in biomedical field. The annotation results show that recursive directed graph is more suitable to extract complex semantic relations for biomedical text mining.
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