针对自动文摘处理,提出一种新颖的自动文摘句子加权方法.该方法采用基于互增强关系(MRP)的迭代算法模拟句子和词之间的循环加权关系,计算句子权重.实验结果表明,基于MRP的迭代算法收敛速度快;与传统的自动文摘方法和MS Word Summarizer...针对自动文摘处理,提出一种新颖的自动文摘句子加权方法.该方法采用基于互增强关系(MRP)的迭代算法模拟句子和词之间的循环加权关系,计算句子权重.实验结果表明,基于MRP的迭代算法收敛速度快;与传统的自动文摘方法和MS Word Summarizer相比,所提出的基于MRP的句子加权方法可以使自动文摘系统具有更好的性能.展开更多
In this paper, the numerical solution of fourth-order ordinary differential equations is considered. To approximate the differential equation, the Hermitian scheme on a special nonequidistant mesh is used. The fourth-...In this paper, the numerical solution of fourth-order ordinary differential equations is considered. To approximate the differential equation, the Hermitian scheme on a special nonequidistant mesh is used. The fourth-order convergence uniform in the perturbation parameter is proved. The numerical result shows the pointwise convergence, too.展开更多
文摘针对自动文摘处理,提出一种新颖的自动文摘句子加权方法.该方法采用基于互增强关系(MRP)的迭代算法模拟句子和词之间的循环加权关系,计算句子权重.实验结果表明,基于MRP的迭代算法收敛速度快;与传统的自动文摘方法和MS Word Summarizer相比,所提出的基于MRP的句子加权方法可以使自动文摘系统具有更好的性能.
文摘In this paper, the numerical solution of fourth-order ordinary differential equations is considered. To approximate the differential equation, the Hermitian scheme on a special nonequidistant mesh is used. The fourth-order convergence uniform in the perturbation parameter is proved. The numerical result shows the pointwise convergence, too.
