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Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection
April 16, 2024, 4:42 a.m. | Sourya Dipta Das, Yash Vadi, Kuldeep Yadav
cs.LG updates on arXiv.org arxiv.org
Abstract: Automated Essay Scoring (AES) systems are widely popular in the market as they constitute a cost-effective and time-effective option for grading systems. Nevertheless, many studies have demonstrated that the AES system fails to assign lower grades to irrelevant responses. Thus, detecting the off-topic response in automated essay scoring is crucial in practical tasks where candidates write unrelated text responses to the given task in the question. In this paper, we are proposing an unsupervised technique …
abstract arxiv automated cost cs.ai cs.cl cs.lg detection essay grades market modelling popular responses scoring studies systems transformer type
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