Review
Feedback-to-Rubrics: Can We Extract Expert Criteria from Inline Comments?
This work proposes Feedback-to-Rubrics, a problem setting for learning criteria from inline comments on artifacts, which infers rubrics from these comments and iteratively refines them by observing errors in comment prediction based on the inferred rubrics.
Kotaro Yoshida, So Kuroki, Yuki Imajuku et al.
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