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
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.
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
lingochamp/multi-scale-bert-aes
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NAACL 2022
In recent years, pre-trained models have become dominant in most natural language processing (NLP) tasks.
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.
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.
EXPATS: A Toolkit for Explainable Automated Text Scoring
Automated text scoring (ATS) tasks, such as automated essay scoring and readability assessment, are important educational applications of natural language processing.
Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays
ASAP-AEG/MTL-Essay-Traits-Scoring
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NAACL 2022
To find out which traits work best for different types of essays, we conduct ablation tests for each of the essay traits.
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
carsonyang518/aaai24-aes-afg
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Cross-prompt automated essay scoring (AES) requires the system to use non target-prompt essays to award scores to a target-prompt essay.
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems
This number is increasing further due to COVID-19 and the associated automation of education and testing.
Language models and Automated Essay Scoring
carsonyang518/aaai24-aes-afg
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In this paper, we present a new comparative study on automatic essay scoring (AES).
Co-Attention Based Neural Network for Source-Dependent Essay Scoring
Rokeer/co-attention
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WS 2018
This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring.
