Abstract
Automatic Essay Scoring, applied to the prediction of grades for dimensions of a scoring rubric, can provide automatic detailed feedback on students’ written assignments. We apply a character and word n-gram based technique proposed originally for authorship identification—Common N-Gram (CNG) classifier—to this task. We report promising results for the rubric mark prediction for essays by CNG, and perform analysis of suitability of different types of n-grams for the task.
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Jankowska, M., Conrad, C., Harris, J., & Kešelj, V. (2018). N-gram based approach for automatic prediction of essay rubric marks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10832 LNAI, pp. 298–303). Springer Verlag. https://doi.org/10.1007/978-3-319-89656-4_30
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