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Rule Based Plagiarism Detection using Information Retrieval - Notebook for PAN at CLEF 2011

Aniruddha Ghosh, Pinaki Bhaskar, Santanu Pal, Sivaji Bandyopadhyay
2011 Conference and Labs of the Evaluation Forum  
The external plagiarism detection problem has been solved with the help of Nutch, an open source Information Retrieval (IR) system.  ...  The system contains three phasesknowledge preparation, candidate retrieval and plagiarism detection.  ...  Acknowledgment The work has been carried out with support from Department of Information Technology (DIT), Govt. of India funded Project Development of "Cross Lingual Information Access (CLIA)" System  ... 
dblp:conf/clef/GhoshBPB11 fatcat:qrdmil7zwzec7prdspn74bknwy

Identifying Cross-Lingual Plagiarism Using Rich Semantic Features and Deep Neural Networks: A Study on Arabic-English Plagiarism Cases

Salha Alzahrani, Hanan Aljuaid
2020 Journal of King Saud University: Computer and Information Sciences  
This paper attempts to investigate two tasks, namely, cross-lingual semantic text similarity (CL-STS) and plagiarism detection and judgement (PD) using deep neural networks, which, to the best of our knowledge  ...  Different research works for cross-language plagiarism been have developed: for example, by using language normalization whereby suspicious and source documents were translated into English as a common  ...  Apart from previous studies on candidate retrieval from the same language, a study for cross-lingual candidate retrieval using two-level proximity information was proposed [25] .  ... 
doi:10.1016/j.jksuci.2020.04.009 fatcat:tkptcplybfch5b7jxpqu5lh2iu

Using Local Text Similarity in Pairwise Document Analysis for Monolingual Plagiarism Detection [chapter]

Nava Ehsan, Azadeh Shakery
2018 Lecture Notes in Computer Science  
The task of plagiarism detection entails two main steps, suspicious candidate retrieval and pairwise document similarity analysis also called detailed analysis.  ...  We will report our monolingual plagiarism detection system which is used to process the Persian plagiarism corpus for the task of pairwise document similarity.  ...  Acknowledgement We would like to acknowledge the assistance and information provided by Hossein Nasr Esfahani and Mahsa Shahshahani.  ... 
doi:10.1007/978-3-319-73606-8_9 fatcat:k63odg25fvawxfbptss73bqvte

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
What are the major developments in the research on computational methods for plagiarism detection in academic documents since our last literature review in 2013?  ...  However, the rapid and continuous advancement of information technology (IT), which offers convenient and instant access to vast amounts of information, has made plagiarizing easier than ever.  ...  Therefore, CbPD is applicable for the candidate retrieval and the detailed analysis stage [161] of monolingual [90, 93] and cross-lingual [92] detection methods.  ... 
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  
Its contribution lies in its ability to highlight emerging cross-language plagiarism detection techniques trends.  ...  Researchers have developed approaches for detecting plagiarism in a variety of different languages.  ...  Ehsan & Shakery suggested a topic-based segmentation approach in their paper 'Candidate document retrieval for cross-lingual plagiarism detection using twolevel proximity information' to transform the  ... 
doi:10.18517/ijaseit.12.2.14711 fatcat:7cfcopumnnhrlk2bnfhi5e4amy

Reducing computational effort for plagiarism detection by using citation characteristics to limit retrieval space

Norman Meuschke, Bela Gipp
2014 IEEE/ACM Joint Conference on Digital Libraries  
This paper proposes a hybrid approach to plagiarism detection in academic documents that integrates detection methods using citations, semantic argument structure, and semantic word similarity with character-based  ...  Detection approaches that consider semantic similarity on word and sentence level exist and have consistently achieved higher detection accuracy for disguised plagiarism forms compared to character-based  ...  ACKNOWLEDGMENTS The authors thank the German Academic Exchange Service (DAAD) for its support.  ... 
doi:10.1109/jcdl.2014.6970168 dblp:conf/jcdl/MeuschkeG14 fatcat:vie6oxpm2zfzpgt3jlmxrz6iom

An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE

Rao Muhammad Adeel Nawab, Mark Stevenson, Paul Clough
2017 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
A scalable approach based on Information Retrieval is used to perform candidate document selection -the identification of a subset of potential source documents given a suspicious text -from MEDLINE.  ...  In this paper we investigate methods for plagiarism detection that aim to identify potential sources of plagiarism from MEDLINE, particularly when the original text has been modified through the replacement  ...  This paper uses an Information Retrieval (IR)-based approach to retrieve candidate documents that is scalable to large document collections, such as MEDLINE.  ... 
doi:10.1109/tcbb.2016.2542803 pmid:26992177 fatcat:koibe2amdzcwdo3ygxf34brjni

Analyzing Semantic Concept Patterns to Detect Academic Plagiarism

Norman Meuschke, Nicolas Siebeck, Moritz Schubotz, Bela Gipp
2017 Proceedings of the 6th International Workshop on Mining Scientific Publications - WOSP 2017  
possible forms of plagiarism in academic documents.  ...  Using 25 officially retracted academic plagiarism cases, we demonstrate that our approach can detect plagiarism that established text matching approaches would not identify.  ...  [9] and cross-lingual Information Retrieval [32] .  ... 
doi:10.1145/3127526.3127535 dblp:conf/jcdl/MeuschkeSSG17 fatcat:c5okzmnrjvhrhp6mbvwa5kphvi

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.  ...  However, reliably detecting disguised plagiarism, such as strong paraphrases, sense-for-sense translations, and the reuse of non-textual content and ideas, is an open research problem.  ...  Detection results for cross-language plagiarism.  ... 
doi:10.5281/zenodo.4913344 fatcat:xmpaahvwuva53l5l5i2gaidvi4

State of the Art in Detecting Academic Plagiarism

Norman Meuschke, Bela Gipp
2013 Zenodo  
Proposed approaches for this task include intrinsic, cross-lingual and citation-based plagiarism detection.  ...  Consequently, methods and systems aiding in the detection of plagiarism have attracted much research within the last two decades.  ...  For the detailed analysis phase, CLPD methods can apply a number of retrieval models from cross-language information retrieval.  ... 
doi:10.5281/zenodo.3482941 fatcat:e4bl72bt3nboxnjig5nvkpciv4

An Adaptive Image-based Plagiarism Detection Approach

Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel Keim, Bela Gipp
2018 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries - JCDL '18  
Plagiarism detection systems available for productive use reliably identify copied text, or near-copies of text, but often fail to detect disguised forms of academic plagiarism, such as paraphrases, translations  ...  To improve the detection capabilities for disguised forms of academic plagiarism, we analyze the images in academic documents as text-independent features.  ...  RELATED WORK 2.1 Plagiarism Detection Approaches Plagiarism detection is a specialized Information Retrieval (IR) task with the objective of comparing an input document to a large collection and retrieving  ... 
doi:10.1145/3197026.3197042 dblp:conf/jcdl/MeuschkeGSBKG18 fatcat:uesb4oemsjdrre5kyn7q5sle6u

Evaluation of Different Plagiarism Detection Methods: A Fuzzy MCDM Perspective

Kamal Mansour Jambi, Imtiaz Hussain Khan, Muazzam Ahmed Siddiqui
2022 Applied Sciences  
Plagiarism-checking software programs are useful for detecting plagiarism in examinations, projects, publications, and academic research.  ...  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

Data Fraud Detection: A First General Perspective [chapter]

Hans -J. Lenz
2015 Lecture Notes in Business Information Processing  
We consider four main areas of data fraud: spy out, plagiarism, manipulation and fabrication of data. Of course, there is not only interest on data fraud itself but on its detection, too.  ...  It is a matter of fact that the interest and need of science, business and governmental authorities is increasing over time for improving tests of data fraud detection.  ...  This idea enabled him to detect multi-lingual and multi-source detection plagiarism by cross-reference of the citation structures of an original and its plag.  ... 
doi:10.1007/978-3-319-22348-3_2 fatcat:vkij6zywjjahbbagb35thnsypa

Automated identification of media bias in news articles: an interdisciplinary literature review

Felix Hamborg, Karsten Donnay, Bela Gipp
2018 International Journal on Digital Libraries  
The models used to analyze media bias in computer science tend to be simpler compared to models established in the social sciences, and do not necessarily address the most pressing substantial questions  ...  multiple directions for promising further research in computer science in this area.  ...  We thank the anonymous reviewers for their valuable comments that significantly helped to improve this article.  ... 
doi:10.1007/s00799-018-0261-y fatcat:i2wdwvf5c5corl44syg2maahgm

Text stream mining for Massive Open Online Courses: review and perspectives

Safwan Shatnawi, Mohamad Medhat Gaber, Mihaela Cocea
2014 Systems Science & Control Engineering  
Students'-MOOCs' interactions can be exploited using text mining techniques to enhance learning and personalise the learners' experience. In this paper, the open issues in MOOCs are outlined.  ...  This projection allows conceptual level document analysis. LSA has its root in information retrieval for indexing information retrieval system.  ...  techniques, cross-lingual mining, and text stream mining (Liu, 2007) .  ... 
doi:10.1080/21642583.2014.970732 fatcat:ihfmcjgopzaudjafzeubgb4dly
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