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 41–50 of 104 papers

TitleStatusHype
Review of feedback in Automated Essay Scoring—0
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant—0
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional NetworksCode0
Prompt- and Trait Relation-aware Cross-prompt Essay Trait ScoringCode1
The Effectiveness of a Dynamic Loss Function in Neural Network Based Automated Essay Scoring—0
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in WikipediaCode0
Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis against Human Performance—0
H-AES: Towards Automated Essay Scoring for HindiCode0
Using Active Learning Methods to Strategically Select Essays for Automated Scoring—0
Data Augmentation for Automated Essay Scoring using Transformer 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