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 76–100 of 104 papers

TitleStatusHype
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