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
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
ASAP
Most implemented papers
Automated Essay Scoring Using Transformer Models
Automated essay scoring (AES) is gaining increasing attention in the education sector as it significantly reduces the burden of manual scoring and allows ad hoc feedback for learners.
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores
Considering that the performance of a neural network is closely related to the size of the dataset, the lack of data limits the performance improvement of the automated essay scoring model.
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
lingochamp/multi-scale-bert-aes
•
•
NAACL 2022
In recent years, pre-trained models have become dominant in most natural language processing (NLP) tasks.
H-AES: Towards Automated Essay Scoring for Hindi
In this study, we reproduce and compare state-of-the-art methods for AES in the Hindi domain.
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.
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
doheejin/protact
•
•
Thus, predicting various trait scores of unseen-prompt essays (called cross-prompt essay trait scoring) is a remaining challenge of AES.
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.
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.
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
carsonyang518/aaai24-aes-afg
•
•
Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays.
From Automation to Augmentation: Large Language Models Elevating Essay Scoring Landscape
xiaochr/llm-aes
•
•
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.
