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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 104 papers

TitleStatusHype
Using Active Learning Methods to Strategically Select Essays for Automated Scoring—0
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory—0
Word Embedding for Response-To-Text Assessment of Evidence—0
Are Large Language Models Good Essay Graders?—0
ARWI: Arabic Write and Improve—0
Automated Essay Scoring Based on Finite State Transducer: towards ASR Transcription of Oral English Speech—0
Automated Essay Scoring by Maximizing Human-Machine Agreement—0
Automated Essay Scoring for Swedish—0
Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system—0
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant—0
Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems—0
Automated Essay Scoring in the Presence of Biased Ratings—0
Automated Essay Scoring System for Nonnative Japanese Learners—0
Automated essay scoring using efficient transformer-based language models—0
Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory—0
Data Augmentation for Automated Essay Scoring using Transformer Models—0
Automated Essay Scoring with Discourse-Aware Neural Models—0
Automated essay scoring with string kernels and word embeddings—0
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring—0
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression—0
Automatic Features for Essay Scoring -- An Empirical Study—0
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards—0
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring—0
Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis against Human Performance—0
Can GPT-4 do L2 analytic assessment?—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