Summarising Messy Data

One of the challenges in data-to-text NLG is creating good summaries and insights when the input is flawed (incomplete, incorrect, or inconsistent). One of my PhD students has been working on this problem, and it is a hard one! But a good solution would be hugely valuable for society. I may be able to offer a PhD studentship in this area, contact me if interested.