A new text summarization method is proposed 本文提出的文摘方法綜合利用了兩種方法。
Domain - independent , un - supervisory and the easiness to implement feature in our summarization system . a useful complementarity exists between text summarization and question answering systems 所實現的文本自動綜述系統具有領域無關、無需訓練、易于實現、在現有框架下易于擴展等特點。
Firstly we review the theory on automatic summarization , including the techniques of large scale text processing , text summarization and multimedia information retrieval 本文首先全面闡述了有關多媒體信息自動摘要的一些基本理論,包括大規模文本處理技術、自動文摘技術、多媒體信息檢索技術等。
So it is a new and promising way of improving search on the web . finally , we propose a text summarization method which is based on weight of sentences and genetic algorithm , and it is also a corpus - based approach 最后介紹了一種我們提出的基于語句權重和遺傳算法的文件摘要方法,該方法從本質上說也是一種基于文件集的摘要方法。
This paper also designs and implements the automatic news text summarization system . experimental results show that the proposed summarization technique is fairly good and the system can meet the current application requirements 通過對提出的新聞文本摘要算法進行實驗分析,證明其對新聞文本進行摘要的效果較好,基本能夠滿足目前的應用需求。