Efficient Transformer-Based Abstractive Urdu Text Summarization Through Selective Attention Pruning

In today’s data-driven world, automatic text summarization is essential for extracting insights from large data volumes. While extractive summarization is well-studied, abstractive summarization remains limited, especially for low-resource languages like Urdu. This study introduces process innovatio...

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Autori principali:	Muhammad Azhar, Adeen Amjad, Ghulam Farid, Deshinta Arrova Dewi, Malathy Batumalay
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-11-01
Serie:	Information
Soggetti:	automatic text summarization abstractive Urdu language transformer attention pruning process optimization
Accesso online:	https://www.mdpi.com/2078-2489/16/11/991
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