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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Muhammad Azhar, Adeen Amjad, Ghulam Farid, Deshinta Arrova Dewi, Malathy Batumalay
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-11-01
Sarja:	Information
Aiheet:	automatic text summarization abstractive Urdu language transformer attention pruning process optimization
Linkit:	https://www.mdpi.com/2078-2489/16/11/991
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!