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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.
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.
As explained in Wikipedia:Plot-only description of fictional works, an encyclopedia article about a work of fiction frequently includes a concise summary of the plot. The description should be thorough enough for the reader to get a sense of what happens and to fully understand the impact of the work and the context of the commentary about it.
RSS (RDF Site Summary or Really Simple Syndication) [2] is a web feed [3] that allows users and applications to access updates to websites in a standardized, computer-readable format. Subscribing to RSS feeds can allow a user to keep track of many different websites in a single news aggregator , which constantly monitors sites for new content ...
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An alphanumeric outline includes a prefix at the beginning of each topic as a reference aid. The prefix is in the form of Roman numerals for the top level, upper-case letters (in the alphabet of the language being used) for the next level, Arabic numerals for the next level, and then lowercase letters for the next level.
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