Multi-document summarization (MDS) is an effective tool for information aggregation that
generates an informative and concise summary from a cluster of topic-related documents …

Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …

As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

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 …

Automatic text summarization attempts to provide an effective solution to today's
unprecedented growth of textual data. This paper proposes an innovative graph-based text …

Multidocument summarization problem deals with extracting main information and ideas
from a set of related documents. Solution to this problem is to find an extraction strategy that …

Extractive summarization aims to automatically produce a short summary of a document by
concatenating several sentences taken exactly from the original material. Due to its …

Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …

The vast amounts of data being collected and analyzed have led to invaluable source of
information, which needs to be easily handled by humans. Automatic Text Summarization …