Pregled bibliografske jedinice broj: 883297
The Struggle with Academic Plagiarism: Approaches based on Semantic Similarity
The Struggle with Academic Plagiarism: Approaches based on Semantic Similarity // 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Biljanović, P. (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2017. str. 976-981 doi:10.23919/MIPRO.2017.7973544 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 883297 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ Biljanović, P. - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2017, 976-981
ISBN
978-953-233-093-9
Skup
40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2017)
Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 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,
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus