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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… 
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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.
2017
2017
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks
In this work, we present a compact, modular framework for constructing new recurrent neural architectures. Our basic module is a… 
2013
2013
Using concepts of content‐based image retrieval to implement graphical testing oracles
Automation of testing is an essential requirement to render it viable for software development. Although there are several… 
2012
2012
Mutually Reinforced Manifold-Ranking Based Relevance Propagation Model for Query-Focused Multi-Document Summarization
Manifold-ranking has been recently exploited for query-focused summarization. It propagates query relevance from the given query… 
Highly Cited
2011
Highly Cited
2011
Summarizing a Document Stream
We introduce the task of summarizing a stream of short documents on microblogs such as Twitter. On microblogs, thousands of short… 
2010
2010
Using topic themes for multi-document summarization
The problem of using topic representations for multidocument summarization (MDS) has received considerable attention recently… 
2009
2009
Swarm based features selection for text summarization
Summary The features are the main entries in text summarization. Treating all features equally causes poor summary generation. In… 
2007
2007
Subtree Mining for Question Classification Problem
Question Classification, i.e., putting the questions into several semantic categories, is very important for question answering… 
2007
2007
A language independent approach to multilingual text summarization
This paper describes an efficient algorithm for language independent generic extractive summarization for single document. The… 
Highly Cited
2004
Highly Cited
2004
Multi-document summarization by cluster/prole relevance and redundancy removal
We describe a sentence extraction system that produces two sorts of multi-document summaries: the rst is a general-purpose… 
Highly Cited
2003
Highly Cited
2003
A 60-mW 200-MHz continuous-time seventh-order linear phase filter with on-chip automatic tuning system
A full CMOS seventh-order linear phase filter based on g/sub m/-C biquads with a -3-dB frequency of 200 MHz is realized in 0.35… 
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