中文摘要：

在传统的信息抽取中，模式匹配已经被证实为简便而有效的方法，而依存路径也是最为常用的模式之一。在槽填充任务中就有众多的参与者引入了以依存路径为基础的模式匹配方法；该文就针对该方法中存在的包括模式平衡性，模式抽取方式和模式筛选策略等方面的问题，提出了模式裁剪、模式转置、模式扩展和模式语义定义等主要的优化方法并实现了相关系统，在TAC-KBP2010的目标语料上进行了测试。该文提出的方法F值为20．8％，比基准系统的14．3％提高了6．5％。

英文摘要：

Pattern matching has been confirmed to be a simple and effective way in traditional information extraction, and dependency path is one of the most common patterns. There are a large number of researchers apply the pattern matching method based on dependency path in Slot Filling task. Focused on the issues of pattern balance, pattern extraction mode and pattern selection strategy in this task, this paper proposes some optimization strategies of pattern cutting, pattern reversing, pattern expansion and pattern semantic definition, and realizes a complete system. Tested in the TAC-KBP2010 target corpus, the F value of the proposed method achieves 20.8%, leading a 6.5% improvement against the 14.3% of the baseline system.