Dirk Scholten-Akoun


2017

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Fine-grained essay scoring of a complex writing task for native speakers
Andrea Horbach | Dirk Scholten-Akoun | Yuning Ding | Torsten Zesch
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications

Automatic essay scoring is nowadays successfully used even in high-stakes tests, but this is mainly limited to holistic scoring of learner essays. We present a new dataset of essays written by highly proficient German native speakers that is scored using a fine-grained rubric with the goal to provide detailed feedback. Our experiments with two state-of-the-art scoring systems (a neural and a SVM-based one) show a large drop in performance compared to existing datasets. This demonstrates the need for such datasets that allow to guide research on more elaborate essay scoring methods.

2015

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Task-Independent Features for Automated Essay Grading
Torsten Zesch | Michael Wojatzki | Dirk Scholten-Akoun
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications