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The document discusses the importance of summarization techniques for processing large amounts of text data. It notes that automatic summarization systems aim to produce concise summaries while retaining the most important concepts and facts from the original text. The development of neural network models has improved the ability of systems to learn the salient elements of documents and generate coherent multi-sentence summaries.
