Add to ORKGAutomatic summarization systems condense documents by extracting the most relevant facts. Extractive summary extract the important sections of the text and reproduce them verbatim. In contrast the abstractive summary aims to produce the important ideas in the text using new phrases. In this paper, a Systematic Literature Review (SLR) on abstractive summarization is presented and various abstractive techniques are discussed along with their evaluation
The focus of automatic text summarization research has exhibited a gradual shift from extractive met...
Automatic text summarization techniques, which can reduce a source text to a summary text by content...
In this thesis, we have developed several techniques for tackling both the extractive and abstractiv...
The paper contains a literature review for automatic abstractive text summarization. The classificat...
This paper explains the existing approaches employed for (automatic) text summarization. The summari...
Understanding the contents of numerous documents requires strenuous effort. While manually reading t...
Text summarization is the process of extracting the important information which gives us the overall...
Understanding the contents of numerous documents requires strenuous effort. While manually reading t...
Automatic summarization aims to reduce an input document to a compressed version that captures only ...
Automatic text summarization is the process of automatically creating a compressed version of a give...
Abstract — Text Summarization is condensing the source text into a shorter version preserving its in...
Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Common...
Text summarization endeavors to produce a summary version of a text, while maintaining the original ...
It has been more than 50 years since the initial investigation on automatic text summarization was s...
Over the past two decades, with the advancements in the World Wide Web and Internet, there has been ...
The focus of automatic text summarization research has exhibited a gradual shift from extractive met...
Automatic text summarization techniques, which can reduce a source text to a summary text by content...
In this thesis, we have developed several techniques for tackling both the extractive and abstractiv...
The paper contains a literature review for automatic abstractive text summarization. The classificat...
This paper explains the existing approaches employed for (automatic) text summarization. The summari...
Understanding the contents of numerous documents requires strenuous effort. While manually reading t...
Text summarization is the process of extracting the important information which gives us the overall...
Understanding the contents of numerous documents requires strenuous effort. While manually reading t...
Automatic summarization aims to reduce an input document to a compressed version that captures only ...
Automatic text summarization is the process of automatically creating a compressed version of a give...
Abstract — Text Summarization is condensing the source text into a shorter version preserving its in...
Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Common...
Text summarization endeavors to produce a summary version of a text, while maintaining the original ...
It has been more than 50 years since the initial investigation on automatic text summarization was s...
Over the past two decades, with the advancements in the World Wide Web and Internet, there has been ...
The focus of automatic text summarization research has exhibited a gradual shift from extractive met...
Automatic text summarization techniques, which can reduce a source text to a summary text by content...
In this thesis, we have developed several techniques for tackling both the extractive and abstractiv...