Introduction
Abstract
Summarization plays an important role in understanding and representing natural languages. With the rapid and continual expansion of texts, pictures and videos in cyberspace, automatic summarization becomes more and more desirable. Text summarization has been studied for more than half century, but it is still hard to automatically generate fluent texts that satisfy readers. Existing approaches follow the traditional computing paradigm to process texts empirically. The fundamental characteristics and principles of understanding and using languages are neglected. It is time for a shifting research paradigm to make a breakthrough. This book summarizes previous text summarization approaches with a multi-dimensional category ...
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