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 …

We provide a literature review about Automatic Text Summarization (ATS) systems. We
consider a citation-based approach. We start with some popular and well-known papers that …

In graph-based extractive text summarization techniques, the weight assigned to the edges
of the graph is the crucial parameter for the sentence ranking. The weights associated with …

Graph-based summarization entails extracting a worthwhile subset of sentences from a
collection of textual documents by using a graph-based model to represent the correlations …

Today, data is the most important thing humanity needs, thus understanding the linguistics of
such a large data is not practically possible so, text summarization is introduced as the …

With the noteworthy expansion of textual data sources in recent years, easy, quick, and
precise text processing has become a challenge for key qualifiers. Automatic text …

Given the exponential growth of patent documents, automatic patent summarization
methods to facilitate the patent analysis process are in strong demand. Recently, the …

Sentence-based multi-document summarization is the task of generating a succinct
summary of a document collection, which consists of the most salient document sentences …

Sentence-based summarization aims at extracting concise summaries of collections of
textual documents. Summaries consist of a worthwhile subset of document sentences. The …

The act of simplifying a text from its original source is known as text summarization. Instead
of capturing the substance of the original content, an effective summary should be able to …