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A summary is not meant to reproduce the experience of reading or watching the work. In fact, readers might be here because they didn't understand the original. Just repeating what they have already seen or read is unlikely to help them. Do not attempt to re-create the emotional impact of the work through the plot summary.
The following paragraphs should give a summary of the article. They should provide an overview of the main points the article will make, summarizing the primary reasons for the subject matter being interesting or notable, including its more important controversies, if there are any.
The topic sentence acts as a kind of summary, and offers the reader an insightful view of the paragraph's main ideas. [3] More than being a mere summary of a paragraph, however, a topic sentence often provides a claim or an insight directly or indirectly related to the thesis. It adds cohesion to an academic text and helps organize ideas not ...
In Wikipedia, the lead section is an introduction to an article and a summary of its most important contents. It is located at the beginning of the article, before the table of contents and the first heading. It is not a news-style lead or "lede" paragraph. The average Wikipedia visit is a few minutes long. [1]
An abstract is a brief summary of a research article, thesis, review, conference proceeding, or any in-depth analysis of a particular subject and is often used to help the reader quickly ascertain the paper's purpose. [1]
The last paragraph of the introduction should summarize the major findings, conclusions, and significance of the work, without reproducing the abstract. So practice varies from journal to journal, as to whether introductions should include summaries.
The call and text message records of hundreds of millions of AT&T cellphone customers in mid-to-late 2022 were exposed in a massive data breach, the telecom company revealed Friday.
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.
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