摘要
最近几年越来越多的人使用互联网收集信息,与此同时,互联网的可用信息正呈指数级增长,信息增长成为每个用户必须面对的问题。用户想要大概地了解一篇文章的大概意思有很多方式,其中最主要的方式是通过摘要,因此自动生成摘要是一项重要任务。通过属性论方法,建立一个接近于自然语言的属性坐标知识库,找到文本的关键字,通过知识图谱来自动生成文本摘要。
In recent years, more and more people use the Internet to gather information, while the available information of the Internet are times growing. The increase of the information is the problem that each users must face. There are many ways to get the meaning of a dozen ar-ticles. The most important way is through the summary. So automatically generated summary is an important task. Proposes an attribute theory method to create a property that close to natural language knowledge base coordinates. Through finding this article keywords to au-tomatically generate a text summary.
出处
《现代计算机》
2014年第6期13-16,共4页
Modern Computer
关键词
属性论
自动摘要
自然语言处理
Attribute Theory Method
Automatic Summarization
Natural Language Processing