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
The Impact of Example Selection in Few-Shot Prompting on Automated Essay Scoring Using GPT Models—0
Toward Educator-focused Automated Scoring Systems for Reading and Writing—0
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection—0
TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring—0
UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia—0
Using Active Learning Methods to Strategically Select Essays for Automated Scoring—0
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory—0
Word Embedding for Response-To-Text Assessment of Evidence—0
Are Large Language Models Good Essay Graders?—0
ARWI: Arabic Write and Improve—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