Automated Essay Scoring
24 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 with no code
Prompting Large Language Models for Zero-shot Essay Scoring via Multi-trait Specialization
Then, an LLM is prompted to extract trait scores from several conversational rounds, each round scoring one of the traits based on the scoring criteria.
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection
The proposed Automated Open Essay Scoring (AOES) model uses a novel topic regularization module (TRM), which can be attached on top of a transformer model, and is trained using a proposed hybrid loss function.
Frustratingly Simple Prompting-based Text Denoising
This paper introduces a novel perspective on the automated essay scoring (AES) task, challenging the conventional view of the ASAP dataset as a static entity.
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.
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example
The primary objective is to assess the capabilities and constraints of ChatGPT, a prominent representative of large language models, within the context of automated essay scoring.
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling
To address the specific needs of ELLs, we propose the use of DeBERTa, a state-of-the-art neural language model, for improving automated feedback tools.
FABRIC: Automated Scoring and Feedback Generation for Essays
The second component is CASE, a Corruption-based Augmentation Strategy for Essays, with which we can improve the accuracy of the baseline model by 45. 44%.
Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training
Neural based approaches to automatic evaluation of subjective responses have shown superior performance and efficiency compared to traditional rule-based and feature engineering oriented solutions.
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant
Automated Essay scoring has been explored as a research and industry problem for over 50 years.
Review of feedback in Automated Essay Scoring
The first automated essay scoring system was developed 50 years ago.
