Sentence extraction

Sentence extraction is a technique used for automatic summarization of a text.In this shallow approach, statistical heuristics are used to identify… (More)
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Past work in relation extraction has focused on binary relations in single sentences. Recent NLP inroads in high-value domains… (More)
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2012
2012
Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one… (More)
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Highly Cited
2009
Highly Cited
2009
Text summarization is one of the oldest problems in natural language processing. Popular approaches rely on extracting relevant… (More)
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Highly Cited
2007
Highly Cited
2007
Much existing research on blogs focused on posts only, ignoring their comments. Our user study conducted on summarizing blog… (More)
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Highly Cited
2004
Highly Cited
2004
This paper presents an innovative unsupervised method for automatic sentence extraction using graphbased ranking algorithms. We… (More)
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Highly Cited
2002
Highly Cited
2002
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new… (More)
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Highly Cited
2002
Highly Cited
2002
A maximum entropy classi er can be used to extract sentences from documents. Experiments using technical documents show that such… (More)
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Highly Cited
2000
Highly Cited
2000
This paper discusses a text extraction approach to multidocument summarization that builds on single-document summarization… (More)
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Highly Cited
2000
Highly Cited
2000
We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic… (More)
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Highly Cited
1997
Highly Cited
1997
A useful first step m document summau-sation is the selection of a small number of 'meamngful' sentences from a larger text… (More)
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