Automated Essay Scoring

12 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

Datasets


Most implemented papers

Automated Essay Scoring based on Two-Stage Learning

ustcljw/fupugec-score 23 Jan 2019

Current state-of-art feature-engineered and end-to-end Automated Essay Score (AES) methods are proven to be unable to detect adversarial samples, e. g. the essays composed of permuted sentences and the prompt-irrelevant essays.

SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring

midas-research/calling-out-bluff 14 Nov 2017

Our new method proposes a new \textsc{SkipFlow} mechanism that models relationships between snapshots of the hidden representations of a long short-term memory (LSTM) network as it reads.

Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input

Youmna-H/Coherence_AES NAACL 2018

We demonstrate that current state-of-the-art approaches to Automated Essay Scoring (AES) are not well-suited to capturing adversarially crafted input of grammatical but incoherent sequences of sentences.

Co-Attention Based Neural Network for Source-Dependent Essay Scoring

Rokeer/co-attention WS 2018

This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring.

Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems

midas-research/calling-out-bluff 14 Jul 2020

This number is increasing further due to COVID-19 and the associated automation of education and testing.

EXPATS: A Toolkit for Explainable Automated Text Scoring

octanove/expats 7 Apr 2021

Automated text scoring (ATS) tasks, such as automated essay scoring and readability assessment, are important educational applications of natural language processing.

Automated Essay Scoring Using Transformer Models

lucaoffice/publications 13 Oct 2021

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

j-y-j-109/asap-back-translation 1 Mar 2022

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 8 May 2022

In recent years, pre-trained models have become dominant in most natural language processing (NLP) tasks.