The article discusses how to make computer programs better at summarizing multiple documents into a single summary. The researchers found that current methods don't always consider important language rules, like how words relate to each other. They also looked at how to measure if a summary is good or not. By addressing these issues, the researchers aim to create more accurate and effective summarization models for natural language processing.