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Text Summarization
Text Summarization is a natural language processing (NLP) task that involves condensing a lengthy text document into a shorter, more compact version while still retaining the most important information and meaning. The goal is to produce a summary that accurately represents the content of the original text in a concise form.
There are different approaches to text summarization, including extractive methods that identify and extract important sentences or phrases from the text, and abstractive methods that generate new text based on the content of the original text.
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92개CNN / Daily MailGigaWordPubmedArxiv HEP-TH citation graphCNN / Daily MailMTEBX-SumCNN / Daily MailCNN / Daily Mail (Anonymized)DUC 2004 Task 1SAMSumHowSumm-StepBookSumMENSAHowSumm-MethodAbstractive Text Summarization from Il PostvietnewsAbstractive Text Summarization from FanpageGoogle DatasetMulti-NewsEDUsumMovieSumReddit TIFUSummScreenAmazonCNN/Daily MailDialogSumKlexikonMLSum-itWITS