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Pregled bibliografske jedinice broj: 883297

The Struggle with Academic Plagiarism: Approaches based on Semantic Similarity


Vrbanec, Tedo; Meštrović, Ana
The Struggle with Academic Plagiarism: Approaches based on Semantic Similarity // Proceedings of 40th Jubilee International Convention MIPRO 2017 / Biljanović, Petar (ur.).
Rijeka: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2017. str. 976-981 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
The Struggle with Academic Plagiarism: Approaches based on Semantic Similarity

Autori
Vrbanec, Tedo ; Meštrović, Ana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 40th Jubilee International Convention MIPRO 2017 / Biljanović, Petar - Rijeka : Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2017, 976-981

ISBN
978-953-233-093-9

Skup
The 40th Jubilee International ICT Convention – MIPRO 2017

Mjesto i datum
Opatija, Hrvatska, 22-26.05.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Academic plagiarism ; plagiarism detection ; obfuscation plagiarism ; natural language processing ; semantic similarity

Sažetak
Academic plagiarism is a serious problem nowadays. Due to the existence of inexhaustible sources of digital information, today it is easier to plagiarize more than ever before. The good thing is that plagiarism detection techniques have improved and are powerful enough to detect attempts of plagiarism in education. We are now witnessing efficient plagiarism detection software in action, such as Turnitin, iThenticate or SafeAssign. In the introduction we explore software that is used within the Croatian academic community for plagiarism detection in universities and/or in scientific journals. The question is - is this enough? Current software has proven to be successful, however the problem of identifying paraphrasing or obfuscation plagiarism remains unresolved. In this paper we present a report of how semantic similarity measures can be used in the plagiarism detection task.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Učiteljski fakultet, Zagreb,
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