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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 21–30 of 104 papers

TitleStatusHype
Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory—0
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression—0
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed CounterfactualsCode0
Graded Relevance Scoring of Written Essays with Dense Retrieval—0
Can GPT-4 do L2 analytic assessment?—0
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback GenerationCode0
Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring—0
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection—0
Autoregressive Score Generation for Multi-trait Essay ScoringCode0
Can Large Language Models Automatically Score Proficiency of Written Essays?Code0
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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