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edited Jul 22, 2021 at 20:12

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

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

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.

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asked Jul 22, 2021 at 18:31

Dealing with label noise (Regression, NLP)

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

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

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.