Automated Essay Scoring
26 papers with code • 1 benchmarks • 1 datasets
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
Benchmarks
These leaderboards are used to track progress in Automated Essay Scoring
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ASAP
Latest papers
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
We evaluate both the AES performance that LLMs can achieve with prompting only and the helpfulness of the generated essay feedback.
Autoregressive Score Generation for Multi-trait Essay Scoring
doheejin/arts
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Recently, encoder-only pre-trained models such as BERT have been successfully applied in automated essay scoring (AES) to predict a single overall score.
Can Large Language Models Automatically Score Proficiency of Written Essays?
Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness.
VerAs: Verify then Assess STEM Lab Reports
With an increasing focus in STEM education on critical thinking skills, science writing plays an ever more important role in curricula that stress inquiry skills.
From Automation to Augmentation: Large Language Models Elevating Essay Scoring Landscape
xiaochr/llm-aes
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Receiving immediate and personalized feedback is crucial for second-language learners, and Automated Essay Scoring (AES) systems are a vital resource when human instructors are unavailable.
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
carsonyang518/aaai24-aes-afg
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Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays.
Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task
However, among users are trolls, who provide training examples with incorrect labels.
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
Coherence is an important aspect of text quality, and various approaches have been applied to coherence modeling.
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
doheejin/protact
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Thus, predicting various trait scores of unseen-prompt essays (called cross-prompt essay trait scoring) is a remaining challenge of AES.
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Here, we propose WikiSQE, the first large-scale dataset for sentence quality estimation in Wikipedia.
