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Emad Nabil

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2026

Assessing Transformer Models for Abstractive Summarization of Scientific Articles

The results show that BART achieves the best performance with an ROUGE-2 F1-score of 0.40664, while T5 demonstrates superior grammatical acceptability, achieving 93.36%, but BART achieves a very near performance to T5.

Emad Nabil · 0 citations
2026

A Multi-Similarity Neural Network for Paraphrase Detection

The results suggest that integrating diverse similarity measures with neural networks enhances the identification of both explicit and nuanced paraphrases, thereby supporting advancements in text analysis and plagiarism detection systems.

Emad Nabil · 0 citations

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