Abstract: The rapid emergence of multimedia technologies as well as the Internet saw a rise in the volumes of text data. Such huge amounts of text may give some insights that need to be properly ...

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We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...

Copying and pasting from text messages on the iPhone has always been a bit of a pain. For so long, the only way to do it was to copy the entire message at once. Well, with the latest version of iOS, ...

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Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...

Abstract: Text summarization is important in this era of electronic data explosion. While there exist different models for text summarization in High-resource languages like English, there is no ...

Using text summarization, a long text is provided as input and by automated means a shorter and more concise version is generated (Cai et al., 2021). Text simplification reduces the complexity of a ...

This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.