The key to realize advanced document summarization is semantic representation of documents. This paper investigates the role of Semantic Link Network in representing and understanding documents for multi-document summarization. It proposes a novel abstractive multi-document summarization framework by first transforming documents into a Semantic Link Network of concepts and events and then transforming the Semantic Link Network into the summary of the documents based on the selection of important concepts and events while keeping semantics coherence. Experiments on benchmark datasets show that the proposed summarization approach significantly outperforms relevant state-of-the-art baselines and the Semantic Link Network plays an important role in representing and understanding documents.

中文翻译：

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基于语义链接网络的抽象多文档摘要

实现高级文档摘要的关键是文档的语义表示。本文研究了语义链接网络在表示和理解多文档摘要文档中的作用。它提出了一种新颖的抽象多文档摘要框架，首先将文档转换为概念和事件的语义链接网络，然后根据重要概念和事件的选择将语义链接网络转换为文档的摘要，同时保持语义的一致性。在基准数据集上的实验表明，所提出的摘要方法明显优于相关的最新基线，并且语义链接网络在表示和理解文档方面发挥着重要作用。