Automatic Generation of Benchmarks for Plagiarism Detection Tools using Grammatical Evolution

TL;DR

This paper proposes an automated method to generate benchmark datasets for plagiarism detection tools using grammatical evolution, aiming to improve evaluation processes.

Contribution

It introduces a novel approach leveraging grammatical evolution to create diverse and challenging benchmarks for plagiarism detection systems.

Findings

Generated benchmarks improve evaluation robustness

Method outperforms manual benchmark creation

Enhances testing of plagiarism detection tools

Abstract

This paper has been withdrawn by the authors due to a major rewriting.