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
Word Embedding for Response-To-Text Assessment of Evidence—0
Co-Attention Based Neural Network for Source-Dependent Essay ScoringCode0
Equity Beyond Bias in Language Technologies for Education—0
Automated Essay Scoring with Discourse-Aware Neural Models—0
Regression or classification? Automated Essay Scoring for Norwegian—0
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays—0
Automated Essay Scoring based on Two-Stage LearningCode1
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays—0
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring—0
Automated Essay Scoring in the Presence of Biased Ratings—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