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Conditional Neural Generation using Sub-Aspect Functions for Extractive
  News Summarization

Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization

29 April 2020
Zhengyuan Liu
Ke Shi
Nancy F. Chen
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Papers citing "Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization"

3 / 3 papers shown
Title
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
254
1,430
0
22 Aug 2019
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
1,253
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
6,740
0
26 Sep 2016
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