Filters








1,074 Hits in 4.5 sec

A systematic study of knowledge graph analysis for cross-language plagiarism detection

Marc Franco-Salvador, Paolo Rosso, Manuel Montes-y-Gómez
2016 Information Processing & Management  
A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection. Information Processing and Management. 52(4):550-570.  ...  In this paper, we perform a systematic examination of Cross-language Knowledge Graph Analysis; an approach that represents text fragments using knowledge graphs as a language independent content model.  ...  We would like to thank Tomas Mikolov, Martin Potthast, and Luis A. Leiva for their support and comments during this research.  ... 
doi:10.1016/j.ipm.2015.12.004 fatcat:v44kzogvmffdvaego56qijxzwq

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
Academic Plagiarism Detection: A Systematic Literature Review 112:3 a. Did researchers propose conceptually new approaches for this task? b.  ...  Given the rapid development of the field, we see the need for a follow-up study to summarize the research since 2013.  ...  [79] demonstrated the suitability of knowledge graph analysis for cross-language plagiarism detection.  ... 
doi:10.1145/3345317 fatcat:yk6f5xl2kvdxlhvsolem6zfdsu

Cross-Language Plagiarism Detection: Methods, Tools, and Challenges: A Systematic Review

Miguel Botto-Tobar, Alexander Serebrenik, Mark G.J. Van den Brand
2022 International Journal on Advanced Science, Engineering and Information Technology  
Therefore, this paper aims to provide a systematic literature review of cross-language plagiarism detection methods (CLPD) in a natural language context.  ...  Researchers have developed approaches for detecting plagiarism in a variety of different languages.  ...  [5] examined the contributions of knowledge graphs to cross-language plagiarism detection in three areas: word meaning disambiguation, vocabulary extension, and representation through similarities to  ... 
doi:10.18517/ijaseit.12.2.14711 fatcat:7cfcopumnnhrlk2bnfhi5e4amy

Meta-Analysis of Cross-Language Plagiarism and Self-Plagiarism Detection Methods for Russian-English Language Pair

Alina Tlitova, Alexander Toschev, Max Talanov, Vitaliy Kurnosov
2020 Frontiers in Computer Science  
Citation: Tlitova A, Toschev A, Talanov M and Kurnosov V (2020) Meta-Analysis of Cross-Language Plagiarism and Self-Plagiarism Detection Methods for Russian-English Language Pair. Front. Comput.  ...  In this article, we have provided an overview of the existing methods for the identification of cross-language borrowings in the scientific articles of the authors.  ...  ACKNOWLEDGMENTS The work partly was performed according to the Russian Government Program of Competitive Growth of Kazan Federal University.  ... 
doi:10.3389/fcomp.2020.523053 fatcat:2eqhh655mbb3jedkai74igfk7q

KNOWLEDGE AND ATTITUDE OF DENTAL UNDERGRADUATE AND POSTGRADUATE STUDENTS TOWARDS PLAGIARISM IN A PRIVATE DENTAL INSTITUTE

2021 International Journal of Biology Pharmacy and Allied Sciences  
The aim of the study was to assess knowledge and attitude of dental undergraduate and postgraduate students towards plagiarism in a private dental college.  ...  A close ended, standard questionnaire containing 24 statements on a 5 point Likert scale for each statement was used to collect data which measures three attitudinal factors (positive and negative attitude  ...  CONFLICTS OF INTEREST The authors of the study declare that there were no conflicts of interest.  ... 
doi:10.31032/ijbpas/2021/10.8.1034 fatcat:wwf3x7yafjggjfnseonaznzpva

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Norman Meuschke, Bela Gipp, Harald Reiterer, Michael L. Nelson
2021 Zenodo  
The study presents the weaknesses of current detection approaches for identifying strongly disguised plagiarism.  ...  Identifying academic plagiarism is a pressing problem, among others, for research institutions, publishers, and funding organizations.  ...  Knowledge Graph Analysis (KGA) is a graph-backed variant of Semantic Concept Analysis.  ... 
doi:10.5281/zenodo.4913344 fatcat:xmpaahvwuva53l5l5i2gaidvi4

Biomedical text mining for research rigor and integrity: tasks, challenges, directions

Halil Kilicoglu
2017 Briefings in Bioinformatics  
In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information  ...  There is growing alarm that a significant portion of this investment is wasted because of problems in reproducibility of research findings and in the rigor and integrity of research conduct and reporting  ...  Rindflesch, Olivier Bodenreider and Caroline Zeiss for their comments on earlier drafts of this article.  ... 
doi:10.1093/bib/bbx057 pmid:28633401 fatcat:va4d3u6zzjbpnfptseb23tnv7y

Evaluation of Different Plagiarism Detection Methods: A Fuzzy MCDM Perspective

Kamal Mansour Jambi, Imtiaz Hussain Khan, Muazzam Ahmed Siddiqui
2022 Applied Sciences  
As a result, the study serves as a "blueprint" for constructing the next generation of plagiarism-checking tools.  ...  This paper evaluates the different academic plagiarism-detection methods using the fuzzy MCDM (multi-criteria decision-making) method and provides recommendations for the development of efficient plagiarism-detection  ...  Acknowledgments: The authors thank Science and Technology Unit, King Abdulaziz University for the technical support. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12094580 fatcat:ahqjb3djwvgyln76fwe4xopfza

University Learning and Anti-Plagiarism Back-end Services

Manjur Kolhar, Abdalla Alameen
2021 Computers Materials & Continua  
Our research proposes a method to detect plagiarism by applying the core concept of text, which is semantic associations of words and their syntactic composition.  ...  On a benchmark dataset consisting of 785 plagiarized text and 4,716 original text data, a significant accuracy of 90.2% was achieved.  ...  Conflicts of Interest: The author(s) declare(s) that there is no conflict of interest regarding the publication of this paper.  ... 
doi:10.32604/cmc.2020.012658 fatcat:y4uo7uoqtzar3agiv7fvn4fq2a

Integrated Multimodal Copy-Paste Checking

Narayanan Kulathuramaiyer, Bilal Zaka
2009 Journal of Software  
or study.  ...  Besides the mere detection of text copy-paste activities, there is a need to determine deeper similarity relations in text and various other media formats.  ...  As opposed to current plagiarism detection methods as used in educational institutions, [13] , [14] , a cross-media conceptual similarity checking approach [15] , [16] has been adopted.  ... 
doi:10.4304/jsw.4.6.521-528 fatcat:ufffzdqd7vcfdohptxvcrbkesu

Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world

Habeeb Ibrahim Abdul Razack, Sam T. Mathew, Fathinul Fikri Ahmad Saad, Saleh A. Alqahtani
2021 Science Editing  
From detecting simple plagiarism errors to predicting the projected citation impact of an unpublished article, AI's role in scholarly publishing is expected to be multidimensional.  ...  In this article, we review various AI and other associated tools currently in use or development for a range of publishing obligations and functions that have brought about or can soon leverage much-demanded  ...  CopyLeaks, also powered by ML, helps detect plagiarism in over a hundred languages [66] . Plagiarism Rater applies NLP principles to parse and extract textual content [67] .  ... 
doi:10.6087/kcse.244 fatcat:ubbhruf26jbaxfixtczeovhqlq

Biomedical Text Mining for Research Rigor and Integrity: Tasks, Challenges, Directions [article]

Halil Kilicoglu
2017 bioRxiv   pre-print
In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information  ...  An estimated quarter of a trillion US dollars is invested in the biomedical research enterprise annually.  ...  Rindflesch, Olivier Bodenreider, and Caroline Zeiss for their comments on earlier drafts of this paper. Funding This work was supported by the intramural research program at the U.S.  ... 
doi:10.1101/108480 fatcat:7thsz7zjozfqbmqmkokqrn4bki

Automated scholarly paper review: Technologies and challenges [article]

Jialiang Lin, Jiaxin Song, Zhangping Zhou, Yidong Chen, Xiaodong Shi
2022 arXiv   pre-print
Peer review is a widely accepted mechanism for research evaluation, playing a pivotal role in scholarly publishing.  ...  In this review paper, we propose the concept and pipeline of automated scholarly paper review (ASPR) and review the relevant literature and technologies of achieving a full-scale computerized review process  ...  Acknowledgments This work is partly funded by the 13th Five-Year Plan project Artificial Intelligence and Language of State Language Commission of China (Grant No. WT135-38).  ... 
arXiv:2111.07533v2 fatcat:oicz75mudvambimx24q7z63h2e

A survey of retracted articles in dentistry

Túlio Eduardo Nogueira, Andréia Souza Gonçalves, Cláudio Rodrigues Leles, Aline Carvalho Batista, Luciane Rezende Costa
2017 BMC Research Notes  
A total of 72 retracted found were retracted for the reasons: redundant publication (20.8%), plagiarism (18.1%), misconduct (13.8%), overlap (13.6%) and honest error (9.7%).  ...  The types of studies were mainly laboratory studies (34.7%), case reports (22.2%) and review articles (13.9%).  ...  Actually, editors usually suspect plagiarism when a manuscript receives a 35% or higher score for similarity in iThenticate Plagiarism Detection Software [26] .  ... 
doi:10.1186/s13104-017-2576-y pmid:28683764 pmcid:PMC5500970 fatcat:eeiok573tbdx7lr5rlgu5p4a7e

Shifting the Norm: The Case of Academic Plagiarism Detection [chapter]

Mikhail Kopotev, Andrey Rostovtsev, Mikhail Sokolov
2020 The Palgrave Handbook of Digital Russia Studies  
AbstractThis chapter describes how academic plagiarism poses a challenge for digital humanities, when sophisticated tools make it possible to discover inappropriate academic activity.  ...  The next describes various types of plagiarism and computational tools used to detect them. Section 27.3 reviews available digitized resources.  ...  Due to the increasing digitalization of Russian society together with emergent methods of analysis, it is now possible to study the level of support for a particular norm, specifically one that requires  ... 
doi:10.1007/978-3-030-42855-6_27 fatcat:2oxd2o6r5reexpiaqgdfo5prou
« Previous Showing results 1 — 15 out of 1,074 results