Reader Aware Summarization

Reader-Aware Summarization is a sub-task in the field of natural language processing that aims to optimize the quality and relevance of summary generation by analyzing reader comments. The goal of this task is to enhance the readability and user satisfaction of summaries, ensuring that the content better reflects the needs and interests of the readers. In applications such as news, scientific literature, and product reviews, Reader-Aware Summarization can significantly improve the effectiveness and accuracy of information delivery.