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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

18 December 2019
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
    RALM
    3DGS
ArXivPDFHTML

Papers citing "PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization"

3 / 253 papers shown
Title
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,252
0
14 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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