Detecting ghostwriters in high schools
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Documents
- 1906.01635
Accepted author manuscript, 131 KB, PDF document
Students hiring ghostwriters to write their assignments is an increasing problem in educational institutions all over the world, with companies selling these services as a product. In this work, we develop automatic techniques with special focus on detecting such ghostwriting in high school assignments. This is done by training deep neural networks on an unprecedented large amount of data supplied by the Danish company MaCom, which covers 90% of Danish high schools. We achieve an accuracy of 0.875 and a AUC score of 0.947 on an evenly split data set.
Original language | English |
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Title of host publication | ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
Number of pages | 6 |
Publisher | ESANN (i6doc.com) |
Publication date | 2019 |
Pages | 197-202 |
ISBN (Electronic) | 9782875870650 |
Publication status | Published - 2019 |
Event | 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 - Bruges, Belgium Duration: 24 Apr 2019 → 26 Apr 2019 |
Conference
Conference | 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 |
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Land | Belgium |
By | Bruges |
Periode | 24/04/2019 → 26/04/2019 |
Series | ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
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ID: 227333208