For my school project, my group is tackling this Kaggle challenge (assign reading level based on passage).

https://www.kaggle.com/c/commonlitreadabilityprize/overview

However, it seems there is some label noise (examples below, lower score means more difficult)

https://i.sstatic.net/tNwKU.jpg

https://i.sstatic.net/vEyuO.jpg

https://i.sstatic.net/w9KcE.jpg

**What are some good ways with identifying and/or correcting mislabeled regression scores for textual data?**

Since this is for a Deep Learning course, deep methods would be preferred.