Detecting ghostwriters in high schools
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Dokumenter
- 1906.01635
Accepteret manuskript, 131 KB, PDF-dokument
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.
Originalsprog | Engelsk |
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Titel | ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
Antal sider | 6 |
Forlag | ESANN (i6doc.com) |
Publikationsdato | 2019 |
Sider | 197-202 |
ISBN (Elektronisk) | 9782875870650 |
Status | Udgivet - 2019 |
Begivenhed | 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 - Bruges, Belgien Varighed: 24 apr. 2019 → 26 apr. 2019 |
Konference
Konference | 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 |
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Land | Belgien |
By | Bruges |
Periode | 24/04/2019 → 26/04/2019 |
Navn | ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
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