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For example, the set cover problem is a special case of submodular optimization, since the set cover function is submodular. The set cover function attempts to find a subset of objects which cover a given set of concepts. For example, in document summarization, one would like the summary to cover all important and relevant concepts in the document.
She begins the story by trying to take some food to her ailing grandmother in the woods." This is good for a couple of reasons—the brief quote from the text serves to provide good evidence that the summary is being honest, and gives a good sense of her character. The basic premise of the story is described.
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.
There are many resources and activities educators and instructors of reading can use to help with reading strategies in specific content areas and disciplines. Some examples are graphic organizers, talking to the text, anticipation guides, double entry journals, interactive reading and note taking guides, chunking, and summarizing.
For instance, in the article Paul McCartney, the text of the lead begins: "Sir James Paul McCartney...". The name of a person is presented in full if known, including any given names that were abbreviated or omitted in the article's title. For example, the article on Calvin Coolidge gives his name as John Calvin Coolidge Jr.
The graphic is intended to summarize or be an exemplar for the main thrust of the article. It is not intended to be as exhaustive a summary as the text abstract, rather it is supposed to indicate the type, scope, and technical coverage of the article at a glance.