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
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay ScoringCode0
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring—0
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring SystemsCode1
Should You Fine-Tune BERT for Automated Essay Scoring?—0
Multiple Instance Learning for Content Feedback Localization without Annotation—0
LinggleWrite: a Coaching System for Essay Writing—0
Automated Essay Scoring System for Nonnative Japanese Learners—0
Computing with Subjectivity Lexicons—0
UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia—0
Language models and Automated Essay ScoringCode0
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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