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 5160 of 104 papers

TitleStatusHype
Automated Essay Scoring in the Presence of Biased Ratings0
Automated Essay Scoring System for Nonnative Japanese Learners0
Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring0
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs0
Regression or classification? Automated Essay Scoring for Norwegian0
Review of feedback in Automated Essay Scoring0
Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training0
Should You Fine-Tune BERT for Automated Essay Scoring?0
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring0
The Effectiveness of a Dynamic Loss Function in Neural Network Based Automated Essay Scoring0
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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