论文标题
首先阅读头号新闻：多文件新闻摘要的文档重新排序方法
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
论文作者
论文摘要
提取性多文件新闻摘要的一种常见方法是通过将所有文档串联为单个元文档，将其重新构建为单文件摘要问题。但是，此方法忽略了文档的相对重要性。我们提出了一种简单的方法，以根据文档的相对重要性对其进行重新排序，然后再串联并总结它们。重新排序使明显的内容更容易通过摘要模型学习。实验表明，我们的方法的表现优于先前具有更复杂体系结构的最先进方法。
A common method for extractive multi-document news summarization is to re-formulate it as a single-document summarization problem by concatenating all documents as a single meta-document. However, this method neglects the relative importance of documents. We propose a simple approach to reorder the documents according to their relative importance before concatenating and summarizing them. The reordering makes the salient content easier to learn by the summarization model. Experiments show that our approach outperforms previous state-of-the-art methods with more complex architectures.
