Exploring the Landscape of Intrinsic Plagiarism Detection: Benchmarks, Techniques, Evolution, and Challenges-Reference-Cited by-同舟云学术

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Exploring the Landscape of Intrinsic Plagiarism Detection: Benchmarks, Techniques, Evolution, and Challenges

Published:2023 Issue: Volume:11 Page:140519-140545
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Manzoor Muhammad Faraz¹^ORCID,Farooq Muhammad Shoaib¹^ORCID,Haseeb Muhammad¹^ORCID,Farooq Uzma¹^ORCID,Khalid Sohail²,Abid Adnan³

Affiliation:

1. Department of Computer Science, University of Management and Technology, Lahore, Pakistan

2. Petroleum Engineering Application Service Department, Saudi Aramco, Dhahran, Saudi Arabia

3. Department of Data Science, Faculty of Computing and Information Technology, University of the Punjab, Lahore, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10339304.pdf?arnumber=10339304

Reference102 articles.

1. Academic Plagiarism Detection

2. A Literature Survey on Writing Style Change Detection Based on Machine Learning: State-Of-The-Art - Review

3. Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

4. Will ChatGPT Get You Caught? Rethinking of Plagiarism Detection

5. The Pilot Study in Qualitative Inquiry

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