About

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

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Greatest papers with code

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

WS 2018 Rokeer/co-attention

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

AUTOMATED ESSAY SCORING

Automated Essay Scoring based on Two-Stage Learning

23 Jan 2019ustcljw/fupugec-score

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.

AUTOMATED ESSAY SCORING

Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input

NAACL 2018 Youmna-H/Coherence_AES

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.

AUTOMATED ESSAY SCORING