Abstract Automated essay scoring (AES) is the task of automatically assigning scores to essays as an alternative grading by humans. Although traditional AES models typically rely on manually designed features, deep neural network (DNN)-based that obviate need for feature engineering have recently attracted increased attention. Various DNN-AES with different characteristics been proposed over pa...

We built an automated essay scoring system to score approximately 13,000 essay from an online Machine Learning competition Kaggle.com. There are 8 different essay topics and as such, the essays were divided into 8 sets which differed significantly in their responses to the our features and evaluation. Our focus for this essay grading was the style of the essay, which is an extension on the stud...

Traditional automated essay scoring systems rely on carefully designed features to evaluate and score essays. The performance of such systems is tightly bound to the quality of the underlying features. However, it is laborious to manually design the most informative features for such a system. In this paper, we develop an approach based on recurrent neural networks to learn the relation between...

Two Bayesian models for text classification from the information science field were extended and applied to student produced essays. Both models were calibrated using 462 essays with two score points. The calibrated systems were applied to 80 new, pre-scored essays with 40 essays in each score group. Manipulated variables included the two models; the use of words, phrases and arguments; two app...

Automated scoring systems used for the evaluation of spoken or written responses in language assessments need to balance good empirical performance with the interpretability of the scoring models. We compare several methods of feature selection for such scoring systems and show that the use of shrinkage methods such as Lasso regression makes it possible to rapidly build models that both satisfy...

1 Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, 5 New Zealand; [email protected] 6 * Correspondence: [email protected]; Tel.: +64-3-3692201 7 8 Abstract: This paper presents novel feature descriptors and classification algorithms for 9 automated scoring of HER2 in Whole Slide Images (WSI) of breast cancer histology slides. Since...

Electronic Essay Rater (e-rater) is a prototype automated essay scoring system built at Educational Testing Service (ETS) that uses discourse marking, in addition to syntactic information and topical content vector analyses to automatically assign essay scores. This paper gives a general description ore-rater as a whole, but its emphasis is on the importance of discourse marking and argument pa...

The comet assay is a sensitive and versatile method for assessing DNA damage in cells. In the traditional version of the assay, there are many manual steps involved and few samples can be treated in one experiment. High throughput (HT) modifications have been developed during recent years, and they are reviewed and discussed. These modifications include accelerated scoring of comets; other impo...

Originality, a key aspect of creativity, is difficult to measure. We tested the relationship between originality and similarity in two semantic spaces: latent semantic analysis (LSA) and pointwise mutual information (PMI). Similarity in both spaces was negatively correlated with human judgments of originality of responses on a test of divergent thinking. PMI was correlated more strongly both wi...