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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 104 papers

TitleStatusHype
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed CounterfactualsCode0
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted InputCode0
Can GPT-4 do L2 analytic assessment?—0
Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis against Human Performance—0
Automated essay scoring using efficient transformer-based language models—0
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring—0
Automated Essay Scoring System for Nonnative Japanese Learners—0
Automated Essay Scoring in the Presence of Biased Ratings—0
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards—0
Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments—0
Automatic Features for Essay Scoring -- An Empirical Study—0
Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems—0
Automated Essay Scoring Based on Finite State Transducer: towards ASR Transcription of Oral English Speech—0
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression—0
Encoder Decoder Approach to Automated Essay Scoring For Deeper Semantic Analysis—0
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring—0
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant—0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example—0
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection—0
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking—0
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling—0
DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing—0
Equity Beyond Bias in Language Technologies for Education—0
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models—0
Automated essay scoring with string kernels and word embeddings—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