Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques

Abstract Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, information retrieval, semantic analysis, and recommendation systems. Traditional approaches often suffer from overfitting, local...

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Principais autores:	Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh
格式:	Artigo
語言:	Inglês
出版:	SpringerOpen 2025-07-01
叢編:	Journal of Big Data
主題:	Intelligent Text Similarity RoBERTa Chaotic perturbation Optimization techniques Intelligent systems Machine learning system
在線閱讀:	https://doi.org/10.1186/s40537-025-01233-3
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