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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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2025-07-01
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| Serie: | Journal of Big Data |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s40537-025-01233-3 |
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