Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes

Long document summarization poses obstacles to current generative transformer-based models because of the broad context to process and understand. Indeed, detecting long-range dependencies is still challenging for today’s state-of-the-art solutions, usually requiring model expansion at the cost of a...

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Detalles Bibliográficos
Autores principales: Moro, Gianluca, Ragazzi, Luca, Valgimigli, Lorenzo, Frisoni, Giacomo, Sartori, Claudio, Marfia, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098576/
https://www.ncbi.nlm.nih.gov/pubmed/37050608
http://dx.doi.org/10.3390/s23073542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098576/
https://www.ncbi.nlm.nih.gov/pubmed/37050608
http://dx.doi.org/10.3390/s23073542

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