Text summarization is a method to condense important information from text documents. The researchers developed a new way to summarize text by grouping its content based on hidden topics and creating summaries for each group. They tested their method on a challenging dataset and found that their model produced good summaries compared to other techniques. The goal was to capture all the important information in the source documents, even though the dataset was difficult.