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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.
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.
The United Bible Societies published a preliminary report (Preliminary and interim report on the Hebrew Old Testament Text Project = Compte rendu préliminaire et provisoire sur le travail d'analyse textuelle de l'Ancien Testament hébreu) in five volumes as follows: Volume 1: Pentateuch (1979) Volume 2: Historical Books (1979)
English: "1776 Commission—comprised of some of America’s most distinguished scholars and historians—has released a report presenting a definitive chronicle of the American founding, a powerful description of the effect the principles of the Declaration of Independence have had on this Nation’s history, and a dispositive rebuttal of reckless “re-education” attempts that seek to ...
However, prior to this final report, Sign officially argued that UFOs were likely of extraterrestrial origin, and most of the project's personnel came to favor the extraterrestrial hypothesis before this opinion was rejected and in 1948 project sign was reorganized and renamed Project Grudge, which was later renamed Project Blue Book in 1952.
An executive summary (or management summary, sometimes also called speed read) is a short document or section of a document produced for business purposes. It summarizes a longer report or proposal or a group of related reports in such a way that readers can rapidly become acquainted with a large body of material without having to read it all.
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 ...
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