The article discusses a new way to make chatbots better at understanding and answering questions in natural language. The researchers found a method to quickly gather data needed to train these chatbots, making them more efficient. By using multi-turn conversations, they trained models to understand both SQL and SPARQL queries, showing that their approach works well across different types of data.