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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 ...
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.
To explain this observation, links have been shown between ESA and the generalized vector space model. [5] Gabrilovich and Markovitch replied to Anderka and Stein by pointing out that their experimental result was achieved using "a single application of ESA (text similarity)" and "just a single, extremely small and homogenous test collection of ...
A Connecticut man who allegedly killed a woman and her infant son in November targeted the woman because she owed him $400 for renting a vehicle of his, arrest reports said on Monday.
TikTok users are trying to help out a confused husband who is bewildered by one of his wife’s “weird” garments that has “no head hole.”
At a campaign event in Winston-Salem on the eve of the 1976 North Carolina Democratic primary, a voter asked then-candidate Jimmy Carter whether he was a “born again” Christian.
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.