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Sentence extraction
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{{Short description|Text summarization technique}} '''Sentence extraction''' is a technique used for [[automatic summarization]] of a text. In this shallow approach, [[heuristic (computer science)|statistical heuristics]] are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as [[ontology (computer science)|ontologies]] or [[linguistics|linguistic knowledge]]. In short, sentence extraction works as a filter that allows only meaningful sentences to pass. The major downside of applying sentence-extraction techniques to the task of summarization is the loss of [[coherence (linguistics)|coherence]] in the resulting summary. Nevertheless, sentence extraction summaries can give valuable clues to the main points of a document and are frequently sufficiently intelligible to human readers.
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