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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)

DOI:10.63317/4pmfncubhk6c

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.

Details

Paper ID
lrec2018-main-187
Pages
N/A
BibKey
mathias-bhattacharyya-2018-asap
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 May 2018 12 May 2018

Authors

  • SM

    Sandeep Mathias

  • PB

    Pushpak Bhattacharyya

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