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The storyline-based summarization extracts the representative sentences and takes the main theme as the template to compose the summary.
An innovative aspect of our model lies in its ability to remove redundancy while selecting representative sentences.
In this paper, we extract representative sentences through data-weighted reconstruction approach(DWR) by jointly leveraging target scientific paper's abstract and citation sentences' content and structure.
The unique challenges of Chinese opinion summarization in microblogging systems are automatic learning of important features and selection of representative sentences.
In this context, the implementation of sentence/text ranking methods to select the more informative and representative sentences becomes crucial.
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Here's one representative sentence from the U.N. findings: "The Government systematically shelled hospitals on the frontlines".
Representative Sentence: "Terminal illnesses are like exotic landscapes".
Here's a representative sentence from Shoplifting from American Apparel: "He made a smoothie.
Representative Sentence: "When I get up I'm revolted by myself and everything I have to do".
Representative Sentence: "It was possible to have anything in your head, and in fact everybody did have everything in his head, but on paper almost nobody had anything".
@blakebutleRepresentative
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com