Text summarization is a process of distilling the most important content from text documents. While human beings have proven to be extremely capable summarizers, computer based automatic abstracting and summarizing has proven to be extremely challenging tasks. In this paper we report our experience with applying extractive summarization techniques to process news articles, economic reports and ...

Title of dissertation: Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics Stacy F. Hobson Doctor of Philosophy, 2007 Dissertation directed by: Professor Bonnie J. Dorr Department of Computer Science Text summarization evaluation is the process of assessing the quality of an individual summary produced by human or automatic methods....

Text Summarization is condensing the source text into shorter form and retaining its information content and overall meaning. Punjabi text Summarization system is text extraction based summarization system which is used to summarize the Punjabi text by retaining the relevant sentences based on statistical and linguistic features of text. It comprises of two main phases: 1) Pre Processing 2) Pro...

We describe our analysis and modeling of the summarization process of Japanese broadcast news. We have studied the entire manual summarization process of the Japan Broadcasting Corporation (NHK). The staff of NHK has been making manual summarizations of news text on a daily basis since December 2000. We interviewed these professional abstractors and obtained a considerable amount of news summar...

Due to a large variety of noisy information embedded in Web pages, Web-page classification is much more difficult than pure-text classification. In this paper, we propose to improve the Web-page classification performance by removing the noise through summarization techniques. We first give empirical evidence that ideal Web-page summaries generated by human editors can indeed improve the perfor...

In recent years, the evolution of technology has led to an increase in text data obtained from many sources. biomedical domain, information also evidenced this accelerated growth, and automatic summarization systems play essential role optimizing physicians’ time resources identifying relevant information. paper, we present a systematic review research for textual data, focusing mainly on metho...