Multi-Source News Summarization: Challenges and Approaches

In conclusion, our proposed approach offers a novel solution to the challenging task of multi-document summarization, combining the strengths of unsupervised extractive summarization with the power of neural abstractive modeling. By prioritizing both summary quality and argument diversity, we create high-quality summaries that effectively convey the main themes from a large set of documents while maintaining readability and concision.