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PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement
  Learning Policies

PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies

18 May 2021
Andy Su
Difei Su
John M.Mulvey
H. Poor
ArXivPDFHTML

Papers citing "PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies"

2 / 2 papers shown
Title
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
1,255
0
14 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
1