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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.
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.
Too short leaves the reader unsatisfied; too long is intimidating, difficult to read, and may cause the reader to lose interest halfway. These suggestions may be useful: The length should conform to readers' expectations of a short, but useful and complete, summary of the topic. Few well-written leads will be shorter than about 100 words.
If a subject is worth a whole section, then it deserves short mention in the lead according to its real due weight. That due weight should also include careful consideration of the real weight of sections that summarize child articles. Those sections have much more weight than their visible size.
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.
Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as ontologies ...