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ASAP++: Enriching the ASAP Automated Essay Grading Dataset with Essay Attribute Scores
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Abstract
In this paper, we describe the creation of a resource - ASAP++ - which is basically annotations of the Automatic Student Assessment Prize’s Automatic Essay Grading dataset. These annotations are scores for different attributes of the essays, such as content, word choice, organization, sentence fluency, etc. Each of these essays is scored by an annotator. We also report the results of each of the attributes using a Random Forest Classifier using a baseline set of task independent features. We release and share this resource to facilitate further research into these attributes of essay grading.