Skip to search formSkip to main contentSkip to account menu

Automatic summarization

Known as: Auto-summarization, Auto-summarisation, Automatic summarisation 
Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most… 
Wikipedia (opens in a new tab)

Related topics

Related topics

39 relations
Absorbing Markov chainAnaphora (linguistics)Attempto Controlled EnglishBigram

Broader (3)

Computational linguisticsData miningNatural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Controllable Abstractive Summarization
Current models for document summarization disregard user preferences such as the desired length, style, the entities that the… 
Highly Cited
2009
Highly Cited
2009
A Scalable Global Model for Summarization
We present an Integer Linear Program for exact inference under a maximum coverage model for automatic summarization. We compare… 
Highly Cited
2006
Highly Cited
2006
Keyframe-based video summarization using Delaunay clustering
Recent advances in technology have made tremendous amounts of multimedia information available to the general population. An… 
Highly Cited
2006
Highly Cited
2006
A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization
The usual approach for automatic summarization is sentence extraction, where key sentences from the input documents are selected… 
Highly Cited
2005
Highly Cited
2005
Extractive summarization of meeting recordings
Several approaches to automatic speech summarization are discussed below, using the ICSI Meetings corpus. We contrast feature… 
Review
2005
Review
2005
Automatic Text Summarization of Newswire: Lessons Learned from the Document Understanding Conference
Since 2001, the Document Understanding Conferences have been the forum for researchers in automatic text summarization to compare… 
Highly Cited
2004
Highly Cited
2004
Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization
This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We… 
Highly Cited
2004
Highly Cited
2004
LetSum, an automatic Legal Text Summarizing system
This paper presents our work on the development of a new methodology for automatic summarization of justice decision. We describe… 
Highly Cited
2002
Highly Cited
2002
Introduction to the Special Issue on Summarization
generation based on rhetorical structure extraction. In Proceedings of the International Conference on Computational Linguistics… 
Highly Cited
2000
Highly Cited
2000
The Challenges of Automatic Summarization
Summarization, the art of abstracting key content from one or more information sources, has become an integral part of everyday… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)