基于概念的文本结构分析方法

TEXT STRUCTURE ANALYSIS BASED ON CONCEPT

文本结构分析是文本处理领域中的重要内容，它可以有效地改进文本摘要、文本检索以及文本过滤的精度．文中简要描述了文本的物理结构和逻辑结构以及文本分析的背景，提出了文本结构分析中的层次分析方法．该方法保证了层次划分的有序性，可操作性强，便于解释，不依赖于具体领域．其基本思想是对于输入文本，首先识别出文本的物理结构；然后在概念映射、概念密度和概念消歧的基础上，将文本依据主题划分为若干层次；最终获得文本的逻辑结构．

In this paper, a hierarchical analysis approach in text structure analysis is put forward. The main idea is shown as follows: Firstly, the physical structure of text is obtained from the input text; Secondly, based on concept mapping, concept density, and concept disambiguation, text hierarchical analysis is automatically performed; Finally, as a result, the logical structure of text is gained, and text structure tree is created which consists of text theme, hierarchies, and paragraphs. The approach enables the hierarchies to keep paragraphs in a natural order,and it can be applied to the broad fields.