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A Deep Reinforced Model for Abstractive Summarization

A Deep Reinforced Model for Abstractive Summarization

11 May 2017
Romain Paulus
Caiming Xiong
R. Socher
    AI4TS
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Papers citing "A Deep Reinforced Model for Abstractive Summarization"

50 / 713 papers shown
Title
Multimodal Data Fusion based on the Global Workspace Theory
Multimodal Data Fusion based on the Global Workspace Theory
C. Bao
Zafeirios Fountas
Temitayo A. Olugbade
N. Bianchi-Berthouze
33
7
0
26 Jan 2020
Length-controllable Abstractive Summarization by Guiding with Summary
  Prototype
Length-controllable Abstractive Summarization by Guiding with Summary Prototype
Itsumi Saito
Kyosuke Nishida
Kosuke Nishida
Atsushi Otsuka
Hisako Asano
J. Tomita
Hiroyuki Shindo
Yuji Matsumoto
14
33
0
21 Jan 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
Ruiyi Zhang
Changyou Chen
Zhe Gan
Zheng Wen
Wenlin Wang
Lawrence Carin
31
5
0
20 Jan 2020
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
Tong Niu
Joey Tianyi Zhou
17
3
0
15 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
Knowledge-aware Attention Network for Protein-Protein Interaction
  Extraction
Knowledge-aware Attention Network for Protein-Protein Interaction Extraction
Huiwei Zhou
Zhuang Liu
Shixian Ning
Chengkun Lang
Yingyu Lin
Lei Du
17
11
0
07 Jan 2020
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence
  Generation
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
Xinjie Fan
Yizhe Zhang
Zhendong Wang
Mingyuan Zhou
BDL
9
4
0
31 Dec 2019
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Atef Chaudhury
Makarand Tapaswi
Seung Wook Kim
Sanja Fidler
22
10
0
30 Dec 2019
Deep Reinforced Self-Attention Masks for Abstractive Summarization
  (DR.SAS)
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS)
Ankit R. Chadha
Mohamed Masoud
AI4TS
28
0
0
30 Dec 2019
Leveraging Lead Bias for Zero-shot Abstractive News Summarization
Leveraging Lead Bias for Zero-shot Abstractive News Summarization
Chenguang Zhu
Ziyi Yang
R. Gmyr
Michael Zeng
Xuedong Huang
24
19
0
25 Dec 2019
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
78
2,019
0
18 Dec 2019
Generating summaries tailored to target characteristics
Generating summaries tailored to target characteristics
Kushal Chawla
Hrituraj Singh
Arijit Pramanik
Mithlesh Kumar
Balaji Vasan Srinivasan
27
0
0
18 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
46
1,799
0
13 Dec 2019
Quality of syntactic implication of RL-based sentence summarization
Quality of syntactic implication of RL-based sentence summarization
Hoa T. Le
Christophe Cerisara
Claire Gardent
13
1
0
11 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
33
313
0
04 Dec 2019
Low Rank Factorization for Compact Multi-Head Self-Attention
Low Rank Factorization for Compact Multi-Head Self-Attention
Sneha Mehta
Huzefa Rangwala
Naren Ramakrishnan
33
5
0
26 Nov 2019
Controlling the Amount of Verbatim Copying in Abstractive Summarization
Controlling the Amount of Verbatim Copying in Abstractive Summarization
Kaiqiang Song
Bingqing Wang
Z. Feng
Liu Ren
Fei Liu
23
51
0
23 Nov 2019
INSET: Sentence Infilling with INter-SEntential Transformer
INSET: Sentence Infilling with INter-SEntential Transformer
Yichen Huang
Yizhe Zhang
Oussama Elachqar
Yu Cheng
30
1
0
10 Nov 2019
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded
  Conversational Agents
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents
Kurt Shuster
Da Ju
Stephen Roller
Emily Dinan
Y-Lan Boureau
Jason Weston
32
81
0
09 Nov 2019
How Decoding Strategies Affect the Verifiability of Generated Text
How Decoding Strategies Affect the Verifiability of Generated Text
Luca Massarelli
Fabio Petroni
Aleksandra Piktus
Myle Ott
Tim Rocktaschel
Vassilis Plachouras
Fabrizio Silvestri
Sebastian Riedel
23
50
0
09 Nov 2019
Ask to Learn: A Study on Curiosity-driven Question Generation
Ask to Learn: A Study on Curiosity-driven Question Generation
Thomas Scialom
Jacopo Staiano
33
24
0
08 Nov 2019
Contrastive Multi-document Question Generation
Contrastive Multi-document Question Generation
W. Cho
Yizhe Zhang
Sudha Rao
Asli Celikyilmaz
Chenyan Xiong
Jianfeng Gao
Mengdi Wang
Bill Dolan
SyDa
27
28
0
08 Nov 2019
Resurrecting Submodularity for Neural Text Generation
Resurrecting Submodularity for Neural Text Generation
Simeng Han
Xiang Lin
Shafiq Joty
19
0
0
08 Nov 2019
Optimizing the Factual Correctness of a Summary: A Study of Summarizing
  Radiology Reports
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Yuhao Zhang
Derek Merck
E. Tsai
Christopher D. Manning
C. Langlotz
MedIm
HILM
27
185
0
06 Nov 2019
Unsupervised Opinion Summarization as Copycat-Review Generation
Unsupervised Opinion Summarization as Copycat-Review Generation
Arthur Brazinskas
Mirella Lapata
Ivan Titov
22
125
0
06 Nov 2019
Evaluating the Factual Consistency of Abstractive Text Summarization
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
45
728
0
28 Oct 2019
FineText: Text Classification via Attention-based Language Model
  Fine-tuning
FineText: Text Classification via Attention-based Language Model Fine-tuning
Yunzhe Tao
Saurabh Gupta
Satyapriya Krishna
Xiong Zhou
Orchid Majumder
Vineet Khare
21
3
0
25 Oct 2019
Attention Optimization for Abstractive Document Summarization
Attention Optimization for Abstractive Document Summarization
Min Gui
Junfeng Tian
Rui Wang
Zhenglu Yang
21
18
0
25 Oct 2019
Pun-GAN: Generative Adversarial Network for Pun Generation
Pun-GAN: Generative Adversarial Network for Pun Generation
Jianyu Wang
Shunyao Li
Pengcheng Yang
Lei li
Baobao Chang
Zhifang Sui
Xu Sun
GAN
11
28
0
24 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
144
19,578
0
23 Oct 2019
BanditRank: Learning to Rank Using Contextual Bandits
BanditRank: Learning to Rank Using Contextual Bandits
Phanideep Gampa
Sumio Fujita
OffRL
27
10
0
23 Oct 2019
Natural Question Generation with Reinforcement Learning Based
  Graph-to-Sequence Model
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model
Yu Chen
Lingfei Wu
Mohammed J Zaki
19
11
0
19 Oct 2019
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text
  Generation
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Ran Tian
Shashi Narayan
Thibault Sellam
Ankur P. Parikh
HILM
25
94
0
19 Oct 2019
Concept Pointer Network for Abstractive Summarization
Concept Pointer Network for Abstractive Summarization
W. Wenbo
Yang Gao
Huang Heyan
Yuxiang Zhou
21
39
0
18 Oct 2019
Keyphrase Generation: A Multi-Aspect Survey
Keyphrase Generation: A Multi-Aspect Survey
Erion Çano
Ondrej Bojar
27
21
0
11 Oct 2019
Read, Highlight and Summarize: A Hierarchical Neural Semantic
  Encoder-based Approach
Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach
Rajeev Bhatt Ambati
Saptarashmi Bandyopadhyay
P. Mitra
24
0
0
08 Oct 2019
Topic-aware Pointer-Generator Networks for Summarizing Spoken
  Conversations
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations
Zhengyuan Liu
A. Ng
Yutong Li
AiTi Aw
Cewu Lu
24
101
0
03 Oct 2019
Multi-stage Pretraining for Abstractive Summarization
Multi-stage Pretraining for Abstractive Summarization
Sebastian Goodman
Zhenzhong Lan
Radu Soricut
16
5
0
23 Sep 2019
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk
  Summarization
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
Berk Ekmekci
Eleanor Hagerman
B. Howald
23
2
0
23 Sep 2019
How to Write Summaries with Patterns? Learning towards Abstractive
  Summarization through Prototype Editing
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao
Preslav Nakov
Piji Li
Zhangming Chan
Dongyan Zhao
Rui Yan
24
30
0
19 Sep 2019
Summary Level Training of Sentence Rewriting for Abstractive
  Summarization
Summary Level Training of Sentence Rewriting for Abstractive Summarization
Sanghwan Bae
Taeuk Kim
Jihoon Kim
Sang-goo Lee
38
68
0
19 Sep 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
301
1,620
0
18 Sep 2019
Controllable Length Control Neural Encoder-Decoder via Reinforcement
  Learning
Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning
Junyi Bian
Baojun Lin
Kecheng Zhang
Zhaohui Yan
H. Tang
Yonghe Zhang
22
5
0
17 Sep 2019
Efficiency Metrics for Data-Driven Models: A Text Summarization Case
  Study
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study
Erion Çano
Ondrej Bojar
22
11
0
14 Sep 2019
Addressing Semantic Drift in Question Generation for Semi-Supervised
  Question Answering
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
Shiyue Zhang
Joey Tianyi Zhou
24
140
0
13 Sep 2019
What Makes A Good Story? Designing Composite Rewards for Visual
  Storytelling
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Junjie Hu
Yu Cheng
Zhe Gan
Jingjing Liu
Jianfeng Gao
Graham Neubig
8
67
0
11 Sep 2019
Countering Language Drift via Visual Grounding
Countering Language Drift via Visual Grounding
Jason D. Lee
Kyunghyun Cho
Douwe Kiela
24
66
0
10 Sep 2019
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian
Anna Bethke
Yinyin Liu
E. Belding-Royer
William Yang Wang
19
219
0
10 Sep 2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement
  Learning
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Peng Xu
Chien-Sheng Wu
Andrea Madotto
Pascale Fung
27
35
0
09 Sep 2019
Countering the Effects of Lead Bias in News Summarization via
  Multi-Stage Training and Auxiliary Losses
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander
Yue Dong
Jackie C.K. Cheung
Annie Louis
27
35
0
08 Sep 2019
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