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Multi-Reward Reinforced Summarization with Saliency and Entailment

Multi-Reward Reinforced Summarization with Saliency and Entailment

17 April 2018
Ramakanth Pasunuru
Joey Tianyi Zhou
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Papers citing "Multi-Reward Reinforced Summarization with Saliency and Entailment"

38 / 38 papers shown
Title
Generating Attractive and Authentic Copywriting from Customer Reviews
Generating Attractive and Authentic Copywriting from Customer Reviews
Yu-Xiang Lin
Wei-Yun Ma
42
2
0
22 Apr 2024
Calibrating Likelihoods towards Consistency in Summarization Models
Calibrating Likelihoods towards Consistency in Summarization Models
Polina Zablotskaia
Misha Khalman
Rishabh Joshi
Livio Baldini Soares
Shoshana Jakobovits
Joshua Maynez
Shashi Narayan
31
3
0
12 Oct 2023
Tailoring Language Generation Models under Total Variation Distance
Tailoring Language Generation Models under Total Variation Distance
Haozhe Ji
Pei Ke
Zhipeng Hu
Rongsheng Zhang
Minlie Huang
28
18
0
26 Feb 2023
Reward Gaming in Conditional Text Generation
Reward Gaming in Conditional Text Generation
Richard Yuanzhe Pang
Vishakh Padmakumar
Thibault Sellam
Ankur P. Parikh
He He
35
24
0
16 Nov 2022
Towards Language-driven Scientific AI
Towards Language-driven Scientific AI
José Manuél Gómez-Pérez
34
0
0
27 Oct 2022
Universal Evasion Attacks on Summarization Scoring
Universal Evasion Attacks on Summarization Scoring
Wenchuan Mu
Kwan Hui Lim
AAML
38
1
0
25 Oct 2022
Referee: Reference-Free Sentence Summarization with Sharper
  Controllability through Symbolic Knowledge Distillation
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
Melanie Sclar
Peter West
Sachin Kumar
Yulia Tsvetkov
Yejin Choi
22
19
0
25 Oct 2022
Parallel Hierarchical Transformer with Attention Alignment for
  Abstractive Multi-Document Summarization
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization
Ye Ma
Lu Zong
26
0
0
16 Aug 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
66
206
0
26 May 2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse
  Conditional Generation
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
Shashi Narayan
Gonccalo Simoes
Yao-Min Zhao
Joshua Maynez
Dipanjan Das
Michael Collins
Mirella Lapata
29
30
0
28 Mar 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
58
2,243
0
08 Feb 2022
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer
  Summarization
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
Alexander R. Fabbri
Xiaojian Wu
Srini Iyer
Haoran Li
Mona T. Diab
21
14
0
11 Nov 2021
Reinforcement Learning for Abstractive Question Summarization with
  Question-aware Semantic Rewards
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
S. Yadav
D. Gupta
Asma Ben Abacha
Dina Demner-Fushman
OffRL
14
34
0
01 Jul 2021
Automatic Document Sketching: Generating Drafts from Analogous Texts
Automatic Document Sketching: Generating Drafts from Analogous Texts
Zeqiu Wu
Michel Galley
Chris Brockett
Yizhe Zhang
Bill Dolan
52
5
0
14 Jun 2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Rahul Aralikatte
Shashi Narayan
Joshua Maynez
S. Rothe
Ryan T. McDonald
35
45
0
25 May 2021
The Summary Loop: Learning to Write Abstractive Summaries Without
  Examples
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
Philippe Laban
Andrew Hsi Bloomberg
John F. Canny
Marti A. Hearst
19
56
0
11 May 2021
What's in a Summary? Laying the Groundwork for Advances in
  Hospital-Course Summarization
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization
Griffin Adams
Emily Alsentzer
Mert Ketenci
Jason Zucker
Noémie Elhadad
50
47
0
12 Apr 2021
SILT: Efficient transformer training for inter-lingual inference
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato
Alejandro Martín
David Camacho
27
11
0
17 Mar 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru
Han Guo
Joey Tianyi Zhou
OffRL
32
6
0
15 Nov 2020
SummEval: Re-evaluating Summarization Evaluation
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
Dragomir R. Radev
HILM
38
689
0
24 Jul 2020
A Transformer-based Audio Captioning Model with Keyword Estimation
A Transformer-based Audio Captioning Model with Keyword Estimation
Yuma Koizumi
Ryo Masumura
Kyosuke Nishida
Masahiro Yasuda
Shoichiro Saito
13
54
0
01 Jul 2020
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with
  Bilingual Semantic Similarity Rewards
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
Zi-Yi Dou
Sachin Kumar
Yulia Tsvetkov
22
10
0
27 Jun 2020
A Generative Approach to Titling and Clustering Wikipedia Sections
A Generative Approach to Titling and Clustering Wikipedia Sections
Anjalie Field
S. Rothe
Simon Baumgartner
Cong Yu
Abe Ittycheriah
18
4
0
22 May 2020
Improving Truthfulness of Headline Generation
Improving Truthfulness of Headline Generation
Kazuki Matsumaru
Sho Takase
Naoaki Okazaki
HILM
6
49
0
02 May 2020
Reference and Document Aware Semantic Evaluation Methods for Korean
  Language Summarization
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
Dongyub Lee
M. Shin
Taesun Whang
Seung Woo Cho
Byeongil Ko
Daniel Lee
EungGyun Kim
Jaechoon Jo
38
12
0
29 Apr 2020
A Better Variant of Self-Critical Sequence Training
A Better Variant of Self-Critical Sequence Training
Ruotian Luo
BDL
30
37
0
22 Mar 2020
Generating Representative Headlines for News Stories
Generating Representative Headlines for News Stories
Xiaotao Gu
Yuning Mao
Jiawei Han
Jialu Liu
Hongkun Yu
You Wu
Cong Yu
Daniel Finnie
Jiaqi Zhai
Nicholas Zukoski
27
70
0
26 Jan 2020
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
18
727
0
28 Oct 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
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Thomas Scialom
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
22
149
0
04 Sep 2019
Neural Text Summarization: A Critical Evaluation
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
11
361
0
23 Aug 2019
What is this Article about? Extreme Summarization with Topic-aware
  Convolutional Neural Networks
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
29
18
0
19 Jul 2019
Jointly Extracting and Compressing Documents with Summary State
  Representations
Jointly Extracting and Compressing Documents with Summary State Representations
Afonso Mendes
Shashi Narayan
Sebastião Miranda
Zita Marinho
André F. T. Martins
Shay B. Cohen
36
52
0
03 Apr 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory
  Networks
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim
Hyunwoo J. Kim
Gunhee Kim
12
181
0
02 Nov 2018
APRIL: Interactively Learning to Summarise by Combining Active
  Preference Learning and Reinforcement Learning
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Yang Gao
Christian M. Meyer
Iryna Gurevych
13
34
0
29 Aug 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
18
135
0
28 May 2018
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
6,746
0
26 Sep 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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