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Multi-Fact Correction in Abstractive Text Summarization

Multi-Fact Correction in Abstractive Text Summarization

6 October 2020
Yue Dong
Shuohang Wang
Zhe Gan
Yu Cheng
Jackie C.K. Cheung
Jingjing Liu
    KELM
    HILM
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Papers citing "Multi-Fact Correction in Abstractive Text Summarization"

25 / 25 papers shown
Title
Responsible AI Considerations in Text Summarization Research: A Review
  of Current Practices
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
Yu Lu Liu
Meng Cao
Su Lin Blodgett
Jackie Chi Kit Cheung
Alexandra Olteanu
Adam Trischler
30
1
0
18 Nov 2023
Fidelity-Enriched Contrastive Search: Reconciling the
  Faithfulness-Diversity Trade-Off in Text Generation
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
Wei-Lin Chen
Cheng-Kuang Wu
Hsin-Hsi Chen
Chung-Chi Chen
HILM
26
6
0
23 Oct 2023
Annotating and Detecting Fine-grained Factual Errors for Dialogue
  Summarization
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
Rongxin Zhu
Jianzhong Qi
Jey Han Lau
34
9
0
26 May 2023
Counterfactual Debiasing for Generating Factually Consistent Text
  Summaries
Counterfactual Debiasing for Generating Factually Consistent Text Summaries
Chenhe Dong
Yuexiang Xie
Yaliang Li
Ying Shen
CML
HILM
29
0
0
18 May 2023
Automatically Summarizing Evidence from Clinical Trials: A Prototype
  Highlighting Current Challenges
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges
S. Ramprasad
Denis Jered McInerney
Iain J. Marshal
Byron C. Wallace
24
9
0
07 Mar 2023
Improving Factual Consistency in Summarization with Compression-Based
  Post-Editing
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
Alexander R. Fabbri
Prafulla Kumar Choubey
Jesse Vig
Chien-Sheng Wu
Caiming Xiong
HILM
KELM
44
17
0
11 Nov 2022
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual
  Robustness
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Ziqiang Cao
Sujian Li
Hua-Hong Wu
HILM
21
10
0
01 Nov 2022
Evaluating Parameter Efficient Learning for Generation
Evaluating Parameter Efficient Learning for Generation
Peng-Tao Xu
M. Patwary
Shrimai Prabhumoye
Virginia Adams
R. Prenger
Ming-Yu Liu
Nayeon Lee
M. Shoeybi
Bryan Catanzaro
MoE
33
3
0
25 Oct 2022
Exploring Optimal Granularity for Extractive Summarization of
  Unstructured Health Records: Analysis of the Largest Multi-Institutional
  Archive of Health Records in Japan
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan
Kenichiro Ando
T. Okumura
Mamoru Komachi
Hiromasa Horiguchi
Yuji Matsumoto
34
7
0
20 Sep 2022
Entity-based SpanCopy for Abstractive Summarization to Improve the
  Factual Consistency
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency
Wen Xiao
Giuseppe Carenini
HILM
29
16
0
07 Sep 2022
Faithful to the Document or to the World? Mitigating Hallucinations via
  Entity-linked Knowledge in Abstractive Summarization
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
Yue Dong
John Wieting
Pat Verga
HILM
24
24
0
28 Apr 2022
Don't Say What You Don't Know: Improving the Consistency of Abstractive
  Summarization by Constraining Beam Search
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search
Daniel King
Zejiang Shen
Nishant Subramani
Daniel S. Weld
Iz Beltagy
Doug Downey
HILM
20
31
0
16 Mar 2022
Paper Plain: Making Medical Research Papers Approachable to Healthcare
  Consumers with Natural Language Processing
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
Tal August
Lucy Lu Wang
Jonathan Bragg
Marti A. Hearst
Andrew Head
Kyle Lo
17
40
0
28 Feb 2022
Learning Cluster Patterns for Abstractive Summarization
Learning Cluster Patterns for Abstractive Summarization
Sung-Guk Jo
Jeong-Jae Kim
Byung-Won On
19
3
0
22 Feb 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
49
2,234
0
08 Feb 2022
A Survey of Natural Language Generation
A Survey of Natural Language Generation
Chenhe Dong
Hai-Tao Zheng
Haifan Gong
M. Chen
Junxin Li
Ying Shen
Min Yang
3DV
24
43
0
22 Dec 2021
TODSum: Task-Oriented Dialogue Summarization with State Tracking
TODSum: Task-Oriented Dialogue Summarization with State Tracking
Lulu Zhao
Fujia Zheng
Keqing He
Weihao Zeng
Yuejie Lei
Huixing Jiang
Wei Yu Wu
Weiran Xu
Jun Guo
Fanyu Meng
34
23
0
25 Oct 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
133
104
0
30 Apr 2021
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
222
143
0
18 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal
Greg Durrett
HILM
13
153
0
09 Apr 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries
A New Approach to Overgenerating and Scoring Abstractive Summaries
Kaiqiang Song
Bingqing Wang
Z. Feng
Fei Liu
14
17
0
05 Apr 2021
Factual Error Correction for Abstractive Summarization Models
Factual Error Correction for Abstractive Summarization Models
Mengyao Cao
Yue Dong
Jiapeng Wu
Jackie C.K. Cheung
HILM
KELM
169
159
0
17 Oct 2020
Enhancing Factual Consistency of Abstractive Summarization
Enhancing Factual Consistency of Abstractive Summarization
Chenguang Zhu
William Fu-Hinthorn
Ruochen Xu
Qingkai Zeng
Michael Zeng
Xuedong Huang
Meng Jiang
HILM
KELM
190
40
0
19 Mar 2020
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,432
0
22 Aug 2019
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
221
1,208
0
12 Jun 2017
1