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Reducing Quantity Hallucinations in Abstractive Summarization

Reducing Quantity Hallucinations in Abstractive Summarization

28 September 2020
Zheng Zhao
Shay B. Cohen
Bonnie Webber
    HILM
ArXivPDFHTML

Papers citing "Reducing Quantity Hallucinations in Abstractive Summarization"

17 / 17 papers shown
Title
Is In-hospital Meta-information Useful for Abstractive Discharge Summary
  Generation?
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?
Kenichiro Ando
Mamoru Komachi
T. Okumura
Hiromasa Horiguchi
Yuji Matsumoto
15
2
0
10 Mar 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
Discharge Summary Hospital Course Summarisation of In Patient Electronic
  Health Record Text with Clinical Concept Guided Deep Pre-Trained Transformer
  Models
Discharge Summary Hospital Course Summarisation of In Patient Electronic Health Record Text with Clinical Concept Guided Deep Pre-Trained Transformer Models
Thomas Searle
Zina M. Ibrahim
J. Teo
Richard J. B. Dobson
21
29
0
14 Nov 2022
Improving abstractive summarization with energy-based re-ranking
Improving abstractive summarization with energy-based re-ranking
Diogo Pernes
Afonso Mendes
André F. T. Martins
23
6
0
27 Oct 2022
Shortcomings of Question Answering Based Factuality Frameworks for Error
  Localization
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
Ryo Kamoi
Tanya Goyal
Greg Durrett
HILM
44
14
0
13 Oct 2022
Scim: Intelligent Skimming Support for Scientific Papers
Scim: Intelligent Skimming Support for Scientific Papers
Raymond Fok
Hita Kambhamettu
Luca Soldaini
Jonathan Bragg
Kyle Lo
Andrew Head
Marti A. Hearst
Daniel S. Weld
20
37
0
09 May 2022
Masked Summarization to Generate Factually Inconsistent Summaries for
  Improved Factual Consistency Checking
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
Hwanhee Lee
Kang Min Yoo
Joonsuk Park
Hwaran Lee
Kyomin Jung
HILM
18
10
0
04 May 2022
Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua Wu
HILM
29
27
0
10 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
82
2,254
0
08 Feb 2022
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News
  Summarization
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
Xinnuo Xu
Ondrej Dusek
Shashi Narayan
Verena Rieser
Ioannis Konstas
HILM
28
6
0
22 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
186
148
0
30 Aug 2021
Hierarchical Summarization for Longform Spoken Dialog
Hierarchical Summarization for Longform Spoken Dialog
Daniel Li
Thomas Chen
Albert Tung
Lydia B. Chilton
28
19
0
21 Aug 2021
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable
  Features
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
Hannah Rashkin
David Reitter
Gaurav Singh Tomar
Dipanjan Das
172
101
0
14 Jul 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
136
106
0
30 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal
Greg Durrett
HILM
21
153
0
09 Apr 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
261
1,436
0
22 Aug 2019
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
207
1,255
0
14 Nov 2016
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