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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
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These sections are, essentially, just a different kind of plot summary. For instance, an article on Hamlet the character as opposed to Hamlet the play would just summarize Prince Hamlet's individual plot arc through the play. This works just like any other summary – again, you come up with a thesis statement, and defend it with evidence from ...
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This template is intended for articles which should be (but are not) summarized in another article (usually a 'parent' article; i.e. they are a subarticle of the 'parent').
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