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 61–70 of 104 papers

TitleStatusHype
MWE for Essay Scoring English as a Foreign Language—0
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores—0
Toward Educator-focused Automated Scoring Systems for Reading and Writing—0
Encoder Decoder Approach to Automated Essay Scoring For Deeper Semantic Analysis—0
The effects of data size on Automated Essay Scoring engines—0
Essay Quality Signals as Weak Supervision for Source-based Essay Scoring—0
Automated essay scoring using efficient transformer-based language models—0
Neural Automated Essay Scoring Incorporating Handcrafted Features—0
Multi-task Learning for Automated Essay Scoring with Sentiment Analysis—0
Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments—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