Citation-based Plagiarism Detection
Citation-based Plagiarism Detection

Author: Bela Gipp

Publisher: Springer

Published: 2014-06-26

Total Pages: 369

ISBN-13: 3658063947

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Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy & paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Author: Norman Meuschke

Publisher: Springer Nature

Published: 2023-07-31

Total Pages: 290

ISBN-13: 3658420626

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Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and find copied, moderately reworded, or translated content. However, detecting more subtle forms of plagiarism, including strong paraphrasing, sense-for-sense translations, or the reuse of non-textual content and ideas, remains a challenge. This book presents a novel approach to address this problem—analyzing non-textual elements in academic documents, such as citations, images, and mathematical content. The proposed detection techniques are validated in five evaluations using confirmed plagiarism cases and exploratory searches for new instances. The results show that non-textual elements contain much semantic information, are language-independent, and resilient to typical tactics for concealing plagiarism. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism. The book introduces the first integrated plagiarism detection system that combines citation, image, math, and text similarity analysis. Its user interface features visual aids that significantly reduce the time and effort users must invest in examining content similarity.

Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

Author: David Baneres

Publisher: Springer Nature

Published: 2019-10-18

Total Pages: 345

ISBN-13: 3030293262

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This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process. In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes.

Proceedings of International Conference on Intelligent Computing, Information and Control Systems
Proceedings of International Conference on Intelligent Computing, Information and Control Systems

Author: A. Pasumpon Pandian

Publisher: Springer Nature

Published: 2021-01-24

Total Pages: 972

ISBN-13: 9811584435

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This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2020). It encompasses various research works that help to develop and advance the next-generation intelligent computing and control systems. The book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book is pragmatic for researchers, academicians and students dealing with mathematically intransigent problems.

New Directions in Technology for Writing Instruction
New Directions in Technology for Writing Instruction

Author: Gonca Yangın-Ekşi

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 393

ISBN-13: 3031135407

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This book responds to the changes and needs of English Language Learning by offering insight into online writing pedagogical platforms and atmospheres. Language learning enriched with technology, web tools and applications have become a necessary ingredient in language education internationally. This volume provides an in-depth understanding of writing practices that are responsive to the challenges for teaching and learning writing in local and global contexts of education. It also provides succinct knowledge at the intersection of technology with teaching, learning, and research. The chapters herein creatively take advantage of the affordances of digital platforms and further critiques their limitations. The book also delineates knowledge on concepts, theories, and innovative approaches to digital writing in the field of teaching and learning English. The chapters focus on reviews and provide guidance on the practical use of Web 2.0 and multimedia tools as well as presenting research on technology integration in writing classes.

Information Access Evaluation. Multilinguality, Multimodality, and Visualization
Information Access Evaluation. Multilinguality, Multimodality, and Visualization

Author: Pamela Forner

Publisher: Springer

Published: 2013-09-10

Total Pages: 385

ISBN-13: 3642408028

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This book constitutes the refereed proceedings of the 4th International Conference of the CLEF Initiative, CLEF 2013, held in Valencia, Spain, in September 2013. The 32 papers and 2 keynotes presented were carefully reviewed and selected for inclusion in this volume. The papers are organized in topical sections named: evaluation and visualization; multilinguality and less-resourced languages; applications; and Lab overviews.

Research and Advanced Technology for Digital Libraries
Research and Advanced Technology for Digital Libraries

Author: Jaap Kamps

Publisher: Springer

Published: 2017-09-04

Total Pages: 681

ISBN-13: 3319670085

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This book constitutes the proceedings of the 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, held in Thessaloniki, Greece, in September 2017. The 39 full papers, 11 short papers, and 10 poster papers presented in this volume were carefully reviewed and selected from 106 submissions. In addition the book contains 7 doctoral consortium papers. The contributions are organized in topical sections named: linked data; corpora; data in digital libraries; quality in digital libraries; digital humanities; entities; scholarly communication; sentiment analysis; information behavior; information retrieval.

Language as Evidence
Language as Evidence

Author: Victoria Guillén-Nieto

Publisher: Springer Nature

Published: 2022-02-09

Total Pages: 471

ISBN-13: 3030843300

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This edited book provides a comprehensive survey of the modern state of the art in forensic linguistics. Part I of the book focuses on the role of the linguist as an expert witness in common law and civil law jurisdictions, the relation of expert witnesses and lawyers, ethics standards, and courtroom interaction. Part II deals with some of the major areas of expertise of forensic linguistics as the scientific study of language as evidence, namely authorship identification, speaker identification, text authentication, deception and lie detection, plagiarism detection, and cyber language crimes. This book is intended to be used as a reference for academics, students and practitioners of Linguistics, Forensic Linguistics, Law, Criminology, and Forensic Psychology, among other disciplines.

Computational Linguistics and Intelligent Text Processing
Computational Linguistics and Intelligent Text Processing

Author: Alexander Gelbukh

Publisher: Springer

Published: 2018-10-09

Total Pages: 674

ISBN-13: 3319771167

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The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.