MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5

User query-based summarization is a challenging research area of natural language processing. However, the existing approaches struggle to effectively manage the intricate long-distance semantic relationships between user queries and input documents. This paper introduces a user query-based multilin...

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Veröffentlicht in:	Alexandria engineering journal Jg. 127; S. 129 - 142
Hauptverfasser:	Phani, Siginamsetty, Abdul, Ashu, Prasad, M. Krishna Siva, Reddy, V. Dinesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2025 Elsevier
Schlagworte:	Co-attention mechanism Fine-tuning mT5 Multilingual text summarization Shared encoder–decoder User query-based summarization Co-attention mechanism Shared encoder–decoder Fine-tuning mT5 Multilingual text summarization User query-based summarization
ISSN:	1110-0168
Online-Zugang:	Volltext
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