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 81–90 of 104 papers

TitleStatusHype
LinggleWrite: a Coaching System for Essay Writing—0
Multiple Instance Learning for Content Feedback Localization without Annotation—0
Multi-task Learning for Automated Essay Scoring with Sentiment Analysis—0
MWE for Essay Scoring English as a Foreign Language—0
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory—0
Neural Multi-task Learning in Automated Assessment—0
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education—0
Predicting Grammaticality on an Ordinal Scale—0
Co-Attention Based Neural Network for Source-Dependent Essay ScoringCode0
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text 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