Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi · Findings of the Association for Computational Linguistics: ACL 2022 · 2022
A common method for extractive multidocument news summarization is to reformulate 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.