Web: http://arxiv.org/abs/2206.08288

June 17, 2022, 1:12 a.m. | Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui

cs.CL updates on arXiv.org arxiv.org

Short answer scoring (SAS) is the task of grading short text written by a
learner. In recent years, deep-learning-based approaches have substantially
improved the performance of SAS models, but how to guarantee high-quality
predictions still remains a critical issue when applying such models to the
education field. Towards guaranteeing high-quality predictions, we present the
first study of exploring the use of human-in-the-loop framework for minimizing
the grading cost while guaranteeing the grading quality by allowing a SAS model
to share …

arxiv exploration frameworks human scoring

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