Chapter 10: Are Better Summaries Also Easier to Understand? Analyzing Text Complexity in Automatic Summarization

Text summarization and text simplification are research areas in natural language processing that help to analyze information automatically. Text summarization aims to produce a shorter version of a document while preserving its key information and overall meaning. Text simplification aims to adapt the complexity of a text to the reader’s level of understanding. Despite being different in their nature and goals, these tasks could be combined, or integrated, not only for reducing a text to its most relevant content, but also for making such content easier to understand, regardless of the type of user that needs to read it…