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        <title>Fine-grained essay scoring of a complex writing task for native speakers</title>
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        <namePart type="given">Andrea</namePart>
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            <title>Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications</title>
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            <namePart type="given">Joel</namePart>
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            <namePart type="given">Jill</namePart>
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            <namePart type="given">Helen</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Fine-grained essay scoring of a complex writing task for native speakers
%A Horbach, Andrea
%A Scholten-Akoun, Dirk
%A Ding, Yuning
%A Zesch, Torsten
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F horbach-etal-2017-fine
%X 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.
%R 10.18653/v1/W17-5040
%U https://aclanthology.org/W17-5040/
%U https://doi.org/10.18653/v1/W17-5040
%P 357-366

Markdown (Informal)

[Fine-grained essay scoring of a complex writing task for native speakers](https://aclanthology.org/W17-5040/) (Horbach et al., BEA 2017)

• Fine-grained essay scoring of a complex writing task for native speakers (Horbach et al., BEA 2017)

ACL

• Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding, and Torsten Zesch. 2017. Fine-grained essay scoring of a complex writing task for native speakers. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 357–366, Copenhagen, Denmark. Association for Computational Linguistics.