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Improving Factual Consistency in Summarization with Compression-Based
  Post-Editing

Improving Factual Consistency in Summarization with Compression-Based Post-Editing

11 November 2022
Alexander R. Fabbri
Prafulla Kumar Choubey
Jesse Vig
Chien-Sheng Wu
Caiming Xiong
    HILM
    KELM
ArXivPDFHTML

Papers citing "Improving Factual Consistency in Summarization with Compression-Based Post-Editing"

28 / 28 papers shown
Title
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for
  Abstractive Summarization
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
David Wan
Joey Tianyi Zhou
HILM
34
70
0
16 May 2022
Factual Error Correction for Abstractive Summaries Using Entity
  Retrieval
Factual Error Correction for Abstractive Summaries Using Entity Retrieval
Hwanhee Lee
Cheoneum Park
Seunghyun Yoon
Trung Bui
Franck Dernoncourt
Juae Kim
Kyomin Jung
KELM
30
14
0
18 Apr 2022
Learning to Revise References for Faithful Summarization
Learning to Revise References for Faithful Summarization
Griffin Adams
Han-Chin Shing
Q. Sun
C. Winestock
Kathleen McKeown
Noémie Elhadad
36
32
0
13 Apr 2022
QAFactEval: Improved QA-Based Factual Consistency Evaluation for
  Summarization
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization
Alexander R. Fabbri
Chien-Sheng Wu
Wenhao Liu
Caiming Xiong
HILM
56
217
0
16 Dec 2021
Compression, Transduction, and Creation: A Unified Framework for
  Evaluating Natural Language Generation
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
Mingkai Deng
Bowen Tan
Zhengzhong Liu
Eric Xing
Zhiting Hu
35
73
0
14 Sep 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
213
154
0
30 Aug 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
75
45
0
25 May 2021
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
260
310
0
27 Apr 2021
Improving Faithfulness in Abstractive Summarization with Contrast
  Candidate Generation and Selection
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Sihao Chen
Fan Zhang
Kazoo Sone
Dan Roth
HILM
75
107
0
19 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal
Greg Durrett
HILM
48
154
0
09 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan
Ramesh Nallapati
Zhiguo Wang
Cicero Nogueira dos Santos
Henghui Zhu
Dejiao Zhang
Kathleen McKeown
Bing Xiang
HILM
166
159
0
18 Feb 2021
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Chunting Zhou
Graham Neubig
Jiatao Gu
Mona T. Diab
P. Guzmán
Luke Zettlemoyer
Marjan Ghazvininejad
HILM
81
200
0
05 Nov 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
John Wieting
Mohit Iyyer
63
241
0
12 Oct 2020
What Have We Achieved on Text Summarization?
What Have We Achieved on Text Summarization?
Dandan Huang
Leyang Cui
Sen Yang
Guangsheng Bao
Kun Wang
Jun Xie
Yue Zhang
98
109
0
09 Oct 2020
Multi-Fact Correction in Abstractive Text Summarization
Multi-Fact Correction in Abstractive Text Summarization
Yue Dong
Shuohang Wang
Zhe Gan
Yu Cheng
Jackie C.K. Cheung
Jingjing Liu
KELM
HILM
70
119
0
06 Oct 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
90
712
0
24 Jul 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
77
1,031
0
02 May 2020
Improved Natural Language Generation via Loss Truncation
Improved Natural Language Generation via Loss Truncation
Daniel Kang
Tatsunori Hashimoto
53
97
0
30 Apr 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
225
10,815
0
29 Oct 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
101
743
0
28 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
541
24,422
0
26 Jul 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu Wang
Jianfeng Gao
M. Zhou
H. Hon
ELM
AI4CE
202
1,555
0
08 May 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
289
5,791
0
21 Apr 2019
Bottom-Up Abstractive Summarization
Bottom-Up Abstractive Summarization
Sebastian Gehrmann
Yuntian Deng
Alexander M. Rush
CVBM
146
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
119
1,674
0
27 Aug 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
226
1,407
0
31 May 2018
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
148
3,286
0
08 May 2017
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
335
3,547
0
10 Jun 2015
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