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Guiding Extractive Summarization with Question-Answering Rewards

Guiding Extractive Summarization with Question-Answering Rewards

4 April 2019
Kristjan Arumae
Fei Liu
ArXiv (abs)PDFHTML

Papers citing "Guiding Extractive Summarization with Question-Answering Rewards"

31 / 31 papers shown
Title
Content Selection in Deep Learning Models of Summarization
Content Selection in Deep Learning Models of Summarization
Chris Kedzie
Kathleen McKeown
Hal Daumé
BDLMedIm
127
148
0
29 Oct 2018
Bottom-Up Abstractive Summarization
Bottom-Up Abstractive Summarization
Sebastian Gehrmann
Yuntian Deng
Alexander M. Rush
CVBM
165
689
0
31 Aug 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
149
1,684
0
27 Aug 2018
Adapting the Neural Encoder-Decoder Framework from Single to
  Multi-Document Summarization
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
Kaiqiang Song
Fei Liu
46
157
0
19 Aug 2018
Neural Document Summarization by Jointly Learning to Score and Select
  Sentences
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Qingyu Zhou
Nan Yang
Furu Wei
Shaohan Huang
M. Zhou
Tiejun Zhao
149
322
0
06 Jul 2018
Structure-Infused Copy Mechanisms for Abstractive Summarization
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
Lin Zhao
Fei Liu
80
76
0
14 Jun 2018
Soft Layer-Specific Multi-Task Summarization with Entailment and
  Question Generation
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
56
135
0
28 May 2018
Reinforced Extractive Summarization with Question-Focused Rewards
Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
Fei Liu
40
31
0
25 May 2018
Toward Extractive Summarization of Online Forum Discussions via
  Hierarchical Attention Networks
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks
Sansiri Tarnpradab
Fei Liu
K. Hua
59
33
0
25 May 2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Urvashi Khandelwal
He He
Peng Qi
Dan Jurafsky
RALM
58
297
0
12 May 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive
  Strategies
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
Mor Naaman
Yoav Artzi
93
558
0
30 Apr 2018
Learning to Extract Coherent Summary via Deep Reinforcement Learning
Learning to Extract Coherent Summary via Deep Reinforcement Learning
Yuxiang Wu
Baotian Hu
AI4TS
46
170
0
19 Apr 2018
Deep Communicating Agents for Abstractive Summarization
Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz
Antoine Bosselut
Xiaodong He
Yejin Choi
AI4CE
75
307
0
27 Mar 2018
Ranking Sentences for Extractive Summarization with Reinforcement
  Learning
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Shashi Narayan
Shay B. Cohen
Mirella Lapata
171
550
0
23 Feb 2018
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Ziqiang Cao
Furu Wei
Wenjie Li
Sujian Li
HILM
104
371
0
13 Nov 2017
Neural Natural Language Inference Models Enhanced with External
  Knowledge
Neural Natural Language Inference Models Enhanced with External Knowledge
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Diana Inkpen
Si Wei
75
217
0
12 Nov 2017
Graph-based Neural Multi-Document Summarization
Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
Rui Zhang
Kshitijh Meelu
Ayush Pareek
K. Srinivasan
Dragomir R. Radev
BDL
71
258
0
20 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
789
132,454
0
12 Jun 2017
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
206
1,559
0
11 May 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
311
4,026
0
14 Apr 2017
Improving Multi-Document Summarization via Text Classification
Improving Multi-Document Summarization via Text Classification
Ziqiang Cao
Wenjie Li
Sujian Li
Furu Wei
59
104
0
28 Nov 2016
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
360
1,265
0
14 Nov 2016
Distraction-Based Neural Networks for Document Summarization
Distraction-Based Neural Networks for Document Summarization
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
66
59
0
26 Oct 2016
A Sentence Compression Based Framework to Query-Focused Multi-Document
  Summarization
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
Lu Wang
Hema Raghavan
Vittorio Castelli
Radu Florian
Claire Cardie
46
112
0
24 Jun 2016
Rationalizing Neural Predictions
Rationalizing Neural Predictions
Tao Lei
Regina Barzilay
Tommi Jaakkola
129
812
0
13 Jun 2016
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Danqi Chen
Jason Bolton
Christopher D. Manning
ELM
85
571
0
09 Jun 2016
Neural Summarization by Extracting Sentences and Words
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng
Mirella Lapata
73
810
0
23 Mar 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and
  Beyond
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati
Bowen Zhou
Cicero Nogueira dos Santos
Çağlar Gülçehre
Bing Xiang
AIMat
281
2,567
0
19 Feb 2016
Natural Language Inference by Tree-Based Convolution and Heuristic
  Matching
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou
Rui Men
Ge Li
Yan Xu
Lu Zhang
Rui Yan
Zhi Jin
77
353
0
28 Dec 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
353
3,553
0
10 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
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