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

Showing 1120 of 104 papers

TitleStatusHype
A Prompt-independent and Interpretable Automated Essay Scoring Method for Chinese Second Language WritingCode1
Learning to love diligent trolls: Accounting for rater effects in the dialogue safety taskCode0
H-AES: Towards Automated Essay Scoring for HindiCode0
Language models and Automated Essay ScoringCode0
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional NetworksCode0
Co-Attention Based Neural Network for Source-Dependent Essay ScoringCode0
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback GenerationCode0
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed CounterfactualsCode0
A Neural Approach to Automated Essay ScoringCode0
Autoregressive Score Generation for Multi-trait Essay ScoringCode0
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Benchmark Results

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