SOTAVerified

Automated Essay Scoring

Essay scoring: Automated Essay Scoring is the task of assigning a score to an essay, usually in the context of assessing the language ability of a language learner. The quality of an essay is affected by the following four primary dimensions: topic relevance, organization and coherence, word usage and sentence complexity, and grammar and mechanics.

Source: A Joint Model for Multimodal Document Quality Assessment

Papers

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Showing 71–80 of 104 papers

TitleStatusHype
Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression—0
Frustratingly Simple Prompting-based Text Denoising—0
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays—0
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays—0
Graded Relevance Scoring of Written Essays with Dense Retrieval—0
How well can LLMs Grade Essays in Arabic?—0
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores—0
Investigating neural architectures for short answer scoring—0
Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition—0
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural Pairwise Contrastive Regression (NPCR)Quadratic Weighted Kappa0.82—Unverified
2Tran-BERT-MS-ML-RQuadratic Weighted Kappa0.79—Unverified
3Considering-Content-XLNetQuadratic Weighted Kappa0.79—Unverified
4HISK+BOSWEQuadratic Weighted Kappa0.79—Unverified
5SkipFlowQuadratic Weighted Kappa0.76—Unverified
6MHMLWQuadratic Weighted Kappa0.76—Unverified
7AFQuadratic Weighted Kappa0.73—Unverified
8FDAQuadratic Weighted Kappa0.71—Unverified