3 citations · 3 across the 1 of their papers we have counts for
3 papers
Learning to Summarize Long Texts with Memory Compression and Transfer
Jaehong Park, Jonathan Pilault, Christopher Pal
We introduce Mem2Mem, a memory-to-memory mechanism for hierarchical recurrent neural network based encoder decoder architectures and we explore its use for abstractive document sum…
On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park, Christopher Pal
In this work, we investigate the performance of untrained randomly initialized encoders in a general class of sequence to sequence models and compare their performance with that of…
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian, Raymond Li, Jonathan Pilault +1
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization. We perform a simple extractive step…