Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

Enormous amount of online information, available in legal domain, has made legal text
processing an important area of research. In this paper, we attempt to survey different text …

Due to the exponential growth of textual information available on the Web, end users need
to be able to access information in summary form–and without losing the most important …

In this paper, three methods of extracting single document summary by combining
supervised learning with unsupervised learning are proposed. The purpose of these three …

Featured Application This paper provides applicability of the Real Coded Genetic Algorithm
to the Natural Language Processing Task, ie, Text Summarization. The purpose of text …

The explosive growth of textual data on the web and the problem of obtaining desired
information through this enormous volume of data has led to a dramatic increase in demand …

The exponential growth of the Web documents has constituted the need for automatic
document summarization. In this context, extractive document summarization, ie, that task of …

The automatic text summarization (ATS) task consists in automatically synthesizing a
document to provide a condensed version of it. Creating a summary requires not only …

This study proposes a language and domain independent approach for automatic extractive
text summarization (EATS) tasks, which is based on a clustering scheme supported by a …

Text summarization is the automatic process of creating a short form of an original text. The
main goal of an automatic text summarization system is production of a summary which …