Efficient memory-enhanced transformer for long-document summarization in low-resource regimes

HIGHLIGHTS

• who: Gianluca Moro et al. from the Department of Computer Science and Engineering (DISI), University of Bologna, Via dell`Universitu00e0 , have published the Article: Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes, in the Journal: Sensors 2023, 3542 of 13/03/2023
• what: This setting is a substantial limitation and the main reason why memory-based transformers have not yet been applied to LDS where there is a single target even after segmentation. Exceptionally, depending only on the chunk size, the authors show that the GPU need the GPU need remained . . .
  

   

  

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