It has been more than 50 years since the initial investigation on automatic text summarization was started.Various techniques have been successfully used to extract the important contents from text document to represent document summary.In this study,we review some of the studies that have been conducted in this still-developing research area.It covers the basics of text summarization,the types of summarization,the methods that have been used and some areas in which text summarization has been applied.Furthermore,this paper also reviews the significant efforts which have been put in studies concerning sentence extraction,domain specific summarization and multi document summarization and provides the theoretical explanation and the fundamen...
AbstractDue to the exponential growth of documents on internet, users want all the relevant data at ...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
Automatic text summarization techniques, which can reduce a source text to a summary text by content...
It has been more than 50 years since the initial investigation on automatic text summarization was s...
Text summarization endeavors to produce a summary version of a text, while maintaining the original ...
Text summarization can be of different nature ranging from indicative summary that identifies the to...
This paper explains the existing approaches employed for (automatic) text summarization. The summari...
In recent years, there has been a explosion in the amount of text data from a variety of sources. Th...
International audienceAutomatic text summarization, the computer-based production of condensed versi...
It has now been 50 years since the publication of Luhn’s seminal paper on automatic summarization. D...
Abstract—Many previous research studies on extractive text summarization consider a subset of words ...
A summary is a shortened version of a text that contains the main points of the original content. Au...
With the advent of the World Wide Web, there are numerous online platforms that generate huge amount...
Most of the information is embedded in a long text documents.Having a summarizer that can produce a ...
Abstract — Text Summarization is condensing the source text into a shorter version preserving its in...
AbstractDue to the exponential growth of documents on internet, users want all the relevant data at ...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
Automatic text summarization techniques, which can reduce a source text to a summary text by content...
It has been more than 50 years since the initial investigation on automatic text summarization was s...
Text summarization endeavors to produce a summary version of a text, while maintaining the original ...
Text summarization can be of different nature ranging from indicative summary that identifies the to...
This paper explains the existing approaches employed for (automatic) text summarization. The summari...
In recent years, there has been a explosion in the amount of text data from a variety of sources. Th...
International audienceAutomatic text summarization, the computer-based production of condensed versi...
It has now been 50 years since the publication of Luhn’s seminal paper on automatic summarization. D...
Abstract—Many previous research studies on extractive text summarization consider a subset of words ...
A summary is a shortened version of a text that contains the main points of the original content. Au...
With the advent of the World Wide Web, there are numerous online platforms that generate huge amount...
Most of the information is embedded in a long text documents.Having a summarizer that can produce a ...
Abstract — Text Summarization is condensing the source text into a shorter version preserving its in...
AbstractDue to the exponential growth of documents on internet, users want all the relevant data at ...
Given an information source, Automatic Text Summarization (ATS) produces the cluster of information ...
Automatic text summarization techniques, which can reduce a source text to a summary text by content...