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A Consensus Text Summarizer Based on Meta-Search Algorithms

机译：基于Meta-Search算法的共识文本摘要

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摘要

Text summarization is an important problem, which has numerous applications. This problem has been extensively studied and many approaches have been proposed in the literature for its solution. In this paper, we investigate a new approach that employs meta-search. In particular, summaries from several summarizers are evaluated and a new summary is formed from these summaries. Clearly, this meta-summarizer will produce a better summary than any of the others since it exploits the special features of all the sources. We have employed data from Document Understanding Conference 2002 (DUC-2002) and 5 different summarizers in our experiments. We have also created our own summarizer.
机译：文本摘要是一个重要的问题，具有许多应用程序。该问题已被广泛研究，并在文献中提出了许多方法，以其解决方案。在本文中，我们调查了一种雇用元搜索的新方法。特别是，评估来自几个摘要的摘要，并从这些摘要形成了新的摘要。显然，这种元摘要将产生比任何其他人的更好的摘要，因为它利用了所有来源的特殊功能。我们在我们的实验中雇用了文件了解2002年（DUC-2002）和5种不同摘要的数据。我们还创造了自己的摘要。

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