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

Showing 51–100 of 104 papers

TitleStatusHype
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant—0
Review of feedback in Automated Essay Scoring—0
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional NetworksCode0
The Effectiveness of a Dynamic Loss Function in Neural Network Based Automated Essay Scoring—0
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in WikipediaCode0
Can ChatGPT and Bard Generate Aligned Assessment Items? A Reliability Analysis against Human Performance—0
H-AES: Towards Automated Essay Scoring for HindiCode0
Using Active Learning Methods to Strategically Select Essays for Automated Scoring—0
Data Augmentation for Automated Essay Scoring using Transformer Models—0
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory—0
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
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking—0
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring—0
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay ScoringCode0
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring—0
Multiple Instance Learning for Content Feedback Localization without Annotation—0
LinggleWrite: a Coaching System for Essay Writing—0
Should You Fine-Tune BERT for Automated Essay Scoring?—0
Automated Essay Scoring System for Nonnative Japanese Learners—0
Computing with Subjectivity Lexicons—0
UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia—0
Language models and Automated Essay ScoringCode0
Co-Attention Based Neural Network for Source-Dependent Essay ScoringCode0
Word Embedding for Response-To-Text Assessment of Evidence—0
Automated Essay Scoring with Discourse-Aware Neural Models—0
Regression or classification? Automated Essay Scoring for Norwegian—0
Equity Beyond Bias in Language Technologies for Education—0
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays—0
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
Automated essay scoring with string kernels and word embeddings—0
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted InputCode0
Neural Multi-task Learning in Automated Assessment—0
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text ScoringCode0
Investigating neural architectures for short answer scoring—0
Exploring Automated Essay Scoring for Nonnative English Speakers—0
A Neural Approach to Automated Essay ScoringCode0
Automatic Features for Essay Scoring -- An Empirical Study—0
Constrained Multi-Task Learning for Automated Essay Scoring—0
Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression—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