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 51–60 of 104 papers

TitleStatusHype
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant—0
Review of feedback in Automated Essay Scoring—0
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional NetworksCode0
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
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory—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