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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.
A short citation is an inline citation that identifies the place in a source where specific information can be found, but without giving full details of the source. Some Wikipedia articles use it, giving summary information about the source together with a page number. For example, <ref>Rawls 1971, p. 1.</ref>, which renders as Rawls 1971, p. 1.
Summary style keeps the reader from being overwhelmed by too much information up front, by summarizing main points and going into more details on particular points (subtopics) in separate articles. What constitutes "too long" varies by situation, but generally 50 kilobytes of readable prose (8,000 words) is the starting point at which articles ...
site: Returns webpages that belong to the specified site. To focus on two or more domains, use a logical OR to group the domains. You can use site: to search for web domains, top level domains, and directories that are not more than two levels deep. You can also search for webpages that contain a specific search word on a site.
Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing.
Summarize the most important things your sources say. Don't copy/paste wording from your sources; instead, summarize the ideas in the source using your own words. Summarization is more than just changing a few words around here and there. Only add information supported by your sources. Don't add from your own knowledge or expertise.
Typically based on data and information collected from a certain domain of expertise, these visualizations are intended for a broader audience to help them visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global ...
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