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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.
ROUGE, or Recall-Oriented Understudy for Gisting Evaluation, [1] is a set of metrics and a software package used for evaluating automatic summarization and machine translation software in natural language processing. The metrics compare an automatically produced summary or translation against a reference or a set of references (human-produced ...
Too long; didn't read (abbreviated TL;DR and tl;dr) is a shorthand to indicate that a passage is too long to invest the time to digest it. [3] Akin to Wall of text.. The label is often used to point out excessive verbosity or to signify the presence of and location of a short summary in case the page is too long and won't otherwise be read. [4]
GPT-2 became capable of performing a variety of tasks beyond simple text production due to the breadth of its dataset and technique: answering questions, summarizing, and even translating between languages in a variety of specific domains, without being instructed in anything beyond how to predict the next word in a sequence. [17] [18]
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Peter Schiff predicts gold could skyrocket to $100,000 an ounce and ‘there’s no limit’. Here’s why — and how you can capitalize in 2025. Jing Pan. November 17, 2024 at 6:32 AM.
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