2020
DOI: 10.1609/aaai.v34i10.7170
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ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract)

Abstract: Motivated by the mandate to design and deploy a practical, real-world educational tool for grading, we extensively explore linguistic patterns for Short Answer Scoring (SAS) as well as authorship feedback. We approach the SAS task via a multipronged approach that employs linguistic context features for capturing domain-specific knowledge while emphasizing on domain agnostic grading and detailed feedback via an ensemble of explainable statistical models. Our methodology quantitatively supersedes multiple automa… Show more

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Cited by 4 publications
(1 citation statement)
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“…e most prominent dataset for Automated Essay scoring is the Automated Student Assessment Prize (ASAP) dataset 1 . AES systems using the ASAP dataset o en model as a regression problem [9,11] and then convert it into categorical variables, due to the narrow range of scoring values within the dataset. Our dataset has much larger sequence length compared to essays, as well as a wider scoring range (0-100), which makes it a more challenging problem to solve.…”
Section: Related Workmentioning
confidence: 99%
“…e most prominent dataset for Automated Essay scoring is the Automated Student Assessment Prize (ASAP) dataset 1 . AES systems using the ASAP dataset o en model as a regression problem [9,11] and then convert it into categorical variables, due to the narrow range of scoring values within the dataset. Our dataset has much larger sequence length compared to essays, as well as a wider scoring range (0-100), which makes it a more challenging problem to solve.…”
Section: Related Workmentioning
confidence: 99%