Automated Scoring for Reading Comprehension via In-context BERT Tuning. (arXiv:2205.09864v1 [cs.LG])

Automated scoring of open-ended student responses has the potential to
significantly reduce human grader effort. Recent advances in automated scoring
often leverage textual representations based on pre-trained language models
such as BERT and GPT as input to scoring models. Most existing approaches train
a separate model for each item/question, which is suitable for scenarios such
as essay scoring where items can be quite different from one another. However,
these approaches have two limitations: 1) they fail to leverage item linkage …

arxiv bert context reading scoring