Faculty of Business and Economics - list of publications


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FOLTÝNEK, T. -- RUAS, T. -- SCHARPF, P. -- MEUSCHKE, N. -- SCHUBOTZ, M. -- GROSKY, W. -- GIPP, B. Detecting machine-obfuscated plagiarism. In Sustainable Digital Communities. Cham: Springer Switzerland, 2020, p. 816--827. ISBN 978-3-030-43686-5. URL: https://doi.org/10.1007/978-3-030-43687-2_68

Original name:
Detecting machine-obfuscated plagiarism
Czech name:
Written by (author):
Mgr. Tomáš Foltýnek, Ph.D.
Terry Ruas
Philipp Scharpf
Norman Meuschke
Moritz Schubotz
William Grosky
Bela Gipp
Department:
Department of Informatics
Kind of publication:
article in proceedings
Collection:
Sustainable Digital Communities
Nature of article: paper
Part number:
Starting page:
816
Up to page:
827
Number of pages: 12
UT code by Web of Science:
EID code by Scopus:
Original language:
English
Description in original language:
Research on academic integrity has identified online paraphrasing tools as a severe threat to the effectiveness of plagiarism detection systems. To enable the automated identification of machine-paraphrased text, we make three contributions. First, we evaluate the effectiveness of six prominent word embedding models in combination with five classifiers for distinguishing human-written from machine-paraphrased text. The best performing classification approach achieves an accuracy of 99.0% for documents and 83.4% for paragraphs. Second, we show that the best approach outperforms human experts and established plagiarism detection systems for these classification tasks. Third, we provide a Web application that uses the best performing classification approach to indicate whether a text underwent machine-paraphrasing. The data and code of our study are openly available.
Description in English:
Description in Czech:
Year of submission:
2020
Year of transmission:
RIV identification number:
URL: https://doi.org/10.1007/978-3-030-43687-2_68
 
Entry made by:
Last change:
05/13/2020 12:22 (Markéta Hejčová, DiS.)

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Source specification:

Sustainable Digital Communities. Cham: Springer Switzerland, 2020. ISBN 978-3-030-43686-5.

Original name:
Sustainable Digital Communities
English name:
Czech name:
Editor:
Kind of publication:
conference proceedings
ISBN:
978-3-030-43686-5
Publisher: Springer Switzerland
Place of publishing:
Cham
Form of publication:
printed version
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Year of publication:
2020
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Entry:
15th International Conference on Information: iConference 2020
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Description in original language:
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Entry made by:
Last change:
05/13/2020 12:20 (Markéta Hejčová, DiS.)

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Source specification:

15th International Conference on Information: iConference 2020. 2020, Borås.

Original name: 15th International Conference on Information: iConference 2020
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Kind of publication: holding a conference
Venue:
Borås
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Time scope of event: worldwide event
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2020
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Entry made by:
Last change:
05/13/2020 12:20 (Markéta Hejčová, DiS.)

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