AutomatedEssayScoring
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Argumentative discourse contains not only language expressing claims and evidence, but also language used to organize these claims and pieces of evidence. Differentiating be- tween the two may be useful …...
Automated Essay Scoring by Maximizing Human-Machine Agreement
Previous approaches for automated essay scoring (AES) learn a rating model by min- imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this …...
Constrained Multi-Task Learning for Automated Essay Scoring
Supervised machine learning models for automated essay scoring (AES) usually re- quire substantial task-specific training data in order to make accurate predictions for a particular writing task. This limita- tion …...
Automated Essay Scoring in the Presence of Biased Ratings
AbstractStudies in Social Sciences have revealed that when people evaluate someone else, their evaluations often reflect their biases. As a result, rater bias may introduce highly subjective factors that make …...
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
AbstractWe 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. We develop a neural …...
Automated Essay Scoring System for Nonnative Japanese Learners
AbstractIn this study, we created an automated essay scoring (AES) system for nonnative Japanese learners using an essay dataset with annotations for a holistic score and multiple trait scores, including …...
Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments
AbstractPrevious neural coherence models have focused on identifying semantic relations between adjacent sentences. However, they do not have the means to exploit structural information. In this work, we propose a …...
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory
AbstractEssay exams have been attracting attention as a way of measuring the higher-order abilities of examinees, but they have two major drawbacks in that grading them is expensive and raises …...
Automated Essay Scoring via Pairwise Contrastive Regression
AbstractAutomated essay scoring (AES) involves the prediction of a score relating to the writing quality of an essay. Most existing works in AES utilize regression objectives or ranking objectives respectively. …...
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
AbstractCoherence is an important aspect of text quality, and various approaches have been applied to coherence modeling. However, existing methods solely focus on a single document’s coherence patterns, ignoring the …...