Academic plagiarism detection: a systematic literature review

T Foltýnek, N Meuschke, B Gipp - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

Learning short-text semantic similarity with word embeddings and external knowledge sources

HT Nguyen, PH Duong, E Cambria - Knowledge-Based Systems, 2019 - Elsevier
We present a novel method based on interdependent representations of short texts for
determining their degree of semantic similarity. The method represents each short text as …

Edge-based auditing method for data security in resource-constrained internet of things

T Wang, Y Mei, X Liu, J Wang, HN Dai… - Journal of Systems …, 2021 - Elsevier
The explosive generation of Internet of Things (IoT) data calls for cloud service providers
(CSP) to further provide more secure and reliable transmission, storage, and management …

[PDF][PDF] Plagiarism detection tools and techniques: A comprehensive survey

M Jiffriya, MA Jahan, R Ragel - Journal of Science-FAS-SEUSL, 2021 - seu.ac.lk
Plagiarism is a rising issue in academics as increasing resources constantly, and it plays a
high impact on student's performance and quality of education. Several studies have been …

Improving plagiarism detection in text document using hybrid weighted similarity

H Arabi, M Akbari - Expert Systems with Applications, 2022 - Elsevier
Plagiarism is a misconduct, which refers to the use of scientific and literary content contained
in other sources without reference to them. Today, the rise of plagiarism has become a …

An external plagiarism detection system based on part-of-speech (POS) tag n-grams and word embedding

K Yalcin, I Cicekli, G Ercan - Expert Systems with Applications, 2022 - Elsevier
The aim of this paper is to present an automatic plagiarism detection system to identify
plagiarized passages of documents. Our plagiarism detection system uses both syntactic …

Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment

A Abdi, SM Shamsuddin, S Hasan, J Piran - Expert Systems with …, 2018 - Elsevier
Sentiment summarization is the process of automatically creating a compressed version of
the opinionated information expressed in a text. This paper presents a machine learning …

[HTML][HTML] Toward building recommender systems for the circular economy: Exploring the perils of the European Waste Catalogue

G van Capelleveen, C Amrit, H Zijm, DM Yazan… - Journal of environmental …, 2021 - Elsevier
The growth in the number of industries aiming at more sustainable business processes is
driving the use of the European Waste Catalogue (EWC). For example, the identification of …

A survey of semantic relatedness evaluation datasets and procedures

MA Hadj Taieb, T Zesch, M Ben Aouicha - Artificial Intelligence Review, 2020 - Springer
Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

[HTML][HTML] Unsupervised model for detecting plagiarism in internet-based handwritten Arabic documents

M Zaher, A Shehab, M Elhoseny… - Journal of Organizational …, 2020 - igi-global.com
Due to the rapid increase of internet-based data, there is urgent need for a robust intelligent
documents security mechanism. Although there are many attempts to build a plagiarism …