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Sentence extraction

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

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
This paper presents the BUCC 2017 shared task on parallel sentence extraction from comparable corpora. It recalls the design of… Expand
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Highly Cited
2017
Highly Cited
2017
The growing demand for structured knowledge has led to great interest in relation extraction, especially in cases with limited… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
The technology of automatic document summarization is maturing and may provide a solution to the information overload problem… Expand
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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… Expand
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Highly Cited
2004
Highly Cited
2004
This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We… Expand
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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… Expand
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Highly Cited
2002
Highly Cited
2002
A maximum entropy classifier can be used to extract sentences from documents. Experiments using technical documents show that… Expand
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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… Expand
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Highly Cited
2000
Highly Cited
2000
This paper discusses a text extraction approach to multi-document summarization that builds on single-document summarization… Expand
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