In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

Numerous approaches for identifying important content for automatic text summarization
have been developed to date. Topic representation approaches first derive an intermediate …

It has now been 50 years since the publication of Luhn's seminal paper on automatic
summarization. During these years the practical need for automatic summarization has …

The past few years have witnessed increased interest in the potential use of wireless sensor
networks (WSNs) in applications such as disaster management, combat field …

In this paper, we present a study of a novel summarization problem, ie, summarizing the
impact of a scientific publication. Given a paper and its citation context, we study how to …

Methods and systems for selecting a language for text segmentation are disclosed. In one
embodiment, at least a first candidate language and a second candidate language …

Summaries of Web sites help Web users get an idea of the site contents without having to
spend time browsing the sites. Currently, manually constructed summaries of Web sites by …

We study a novel problem of social context summarization for Web documents. Traditional
summarization research has focused on extracting informative sentences from standard …

Most previous Web-page summarization methods treat a Web page as plain text. However,
such methods fail to uncover the full knowledge associated with a Web page needed in …

In this paper, we propose text summarization method that creates text summary by definition
of the relevance score of each sentence and extracting sentences from the original …