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===Extraction-based summarization=== Here, content is extracted from the original data, but the extracted content is not modified in any way. Examples of extracted content include key-phrases that can be used to "tag" or index a text document, or key sentences (including headings) that collectively comprise an abstract, and representative images or video segments, as stated above. For text, extraction is analogous to the process of skimming, where the summary (if available), headings and subheadings, figures, the first and last paragraphs of a section, and optionally the first and last sentences in a paragraph are read before one chooses to read the entire document in detail.<ref>Richard Sutz, Peter Weverka. How to skim text. https://www.dummies.com/education/language-arts/speed-reading/how-to-skim-text/ Accessed Dec 2019.</ref> Other examples of extraction that include key sequences of text in terms of clinical relevance (including patient/problem, intervention, and outcome).<ref name="Afzal_et_al"/>
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