This essay,on the basis of methods of automatic text summarization system and literary style analyses,puts forward a formula by which data-based SAS originating from English literature texts can be evaluated on line.

Automatic Text Summarization Approach Based on Textual Unit Association Networks

Automatic text summarization is an important issue in Natural Language Processing.

A new computational scheme based on the combination of neighboring word is proposed,which is applied in automatic text summarization.

Application in automatic abstracting for text clustering;

Text structure partition for automatic summarization;

Research on Chinese automatic summarization based on user-query;

Research on Chinese Automatic Summarization and Its Evaluation Method;

Since automatic abstraction is superior to manual abstraction for its speed,convenience,efficiency,and impersonality.

We can find each sub theme which constitutes the theme of total text,and then realize automatic abstraction by taking such sub theme as the point of departure.

This idea is useful not only in automatic abstraction,but also in automatic classification and document retrieval.

We introduce the background and major contents of the comprehensive information theory and apply it to the research of automatic abstract in this paper.

An understanding based Chinese automatic abstract system dedicated to a special field of neural networks learning algorithm (NNLA) is introduced in this paper, which is called LADIES (Literature Abstract and Digest Information Extract System).

The research of automatic abstract is an important and difficult point in the field of natural language processing.