Multi-document Summarization via Deep Learning Techniques: A Survey

Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, QUAN Z. Sheng
2022 ACM Computing Surveys  
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. Our survey, the first of its kind, systematically overviews the recent deep learning based MDS models. We propose a novel taxonomy to summarize the design strategies of neural networks and conduct a comprehensive summary of the state-of-the-art. We highlight the differences between various objective functions that are
more » ... ely discussed in the existing literature. Finally, we propose several future directions pertaining to this new and exciting field.
doi:10.1145/3529754 fatcat:r4lngnzrgjbfziazokpd2c5s44