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Asking and Answering Questions to Evaluate the Factual Consistency of
  Summaries

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

8 April 2020
Alex Jinpeng Wang
Kyunghyun Cho
M. Lewis
    HILM
ArXivPDFHTML

Papers citing "Asking and Answering Questions to Evaluate the Factual Consistency of Summaries"

27 / 327 papers shown
Title
FFCI: A Framework for Interpretable Automatic Evaluation of
  Summarization
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization
Fajri Koto
Timothy Baldwin
Jey Han Lau
HILM
32
37
0
27 Nov 2020
CapWAP: Captioning with a Purpose
CapWAP: Captioning with a Purpose
Adam Fisch
Kenton Lee
Ming-Wei Chang
J. Clark
Regina Barzilay
8
11
0
09 Nov 2020
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
39
195
0
05 Nov 2020
Liputan6: A Large-scale Indonesian Dataset for Text Summarization
Liputan6: A Large-scale Indonesian Dataset for Text Summarization
Fajri Koto
Jey Han Lau
Timothy Baldwin
22
46
0
02 Nov 2020
GO FIGURE: A Meta Evaluation of Factuality in Summarization
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel
Asli Celikyilmaz
Rahul Jha
Yejin Choi
Jianfeng Gao
HILM
238
96
0
24 Oct 2020
Understanding the Extent to which Summarization Evaluation Metrics
  Measure the Information Quality of Summaries
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries
Daniel Deutsch
Dan Roth
61
7
0
23 Oct 2020
Improving Factual Completeness and Consistency of Image-to-Text
  Radiology Report Generation
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura
Yuhao Zhang
Emily Bao Tsai
C. Langlotz
Dan Jurafsky
MedIm
160
156
0
20 Oct 2020
Summary-Oriented Question Generation for Informational Queries
Summary-Oriented Question Generation for Informational Queries
Xusen Yin
Li Zhou
Kevin Small
Jonathan May
15
3
0
19 Oct 2020
Compressive Summarization with Plausibility and Salience Modeling
Compressive Summarization with Plausibility and Salience Modeling
Shrey Desai
Jiacheng Xu
Greg Durrett
28
18
0
15 Oct 2020
Understanding Neural Abstractive Summarization Models via Uncertainty
Understanding Neural Abstractive Summarization Models via Uncertainty
Jiacheng Xu
Shrey Desai
Greg Durrett
UQLM
8
47
0
15 Oct 2020
Positioning yourself in the maze of Neural Text Generation: A
  Task-Agnostic Survey
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey
Khyathi Raghavi Chandu
A. Black
20
0
0
14 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
John Wieting
Mohit Iyyer
30
236
0
12 Oct 2020
Evaluating Factuality in Generation with Dependency-level Entailment
Evaluating Factuality in Generation with Dependency-level Entailment
Tanya Goyal
Greg Durrett
23
147
0
12 Oct 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural
  Summarization Systems
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Yiran Chen
Pengfei Liu
Ming Zhong
Zi-Yi Dou
Danqing Wang
Xipeng Qiu
Xuanjing Huang
ELM
27
24
0
11 Oct 2020
Learning to Fuse Sentences with Transformers for Summarization
Learning to Fuse Sentences with Transformers for Summarization
Logan Lebanoff
Franck Dernoncourt
Doo Soon Kim
Lidan Wang
W. Chang
Fei Liu
20
22
0
08 Oct 2020
MOCHA: A Dataset for Training and Evaluating Generative Reading
  Comprehension Metrics
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Anthony Chen
Gabriel Stanovsky
Sameer Singh
Matt Gardner
19
50
0
07 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
15
118
0
06 Oct 2020
Towards Question-Answering as an Automatic Metric for Evaluating the
  Content Quality of a Summary
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary
Daniel Deutsch
Tania Bedrax-Weiss
Dan Roth
6
109
0
01 Oct 2020
Extracting Summary Knowledge Graphs from Long Documents
Extracting Summary Knowledge Graphs from Long Documents
Zeqiu Wu
Rik Koncel-Kedziorski
Mari Ostendorf
Hannaneh Hajishirzi
35
15
0
19 Sep 2020
Looking Beyond Sentence-Level Natural Language Inference for Downstream
  Tasks
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks
Anshuman Mishra
Dhruvesh Patel
Aparna Vijayakumar
Xiang Li
Pavan Kapanipathi
Kartik Talamadupula
RALM
19
7
0
18 Sep 2020
Generating (Factual?) Narrative Summaries of RCTs: Experiments with
  Neural Multi-Document Summarization
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Byron C. Wallace
Sayantani Saha
Frank Soboczenski
Iain J. Marshall
HILM
11
77
0
25 Aug 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
690
0
24 Jul 2020
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
19
376
0
26 Jun 2020
Understanding Points of Correspondence between Sentences for Abstractive
  Summarization
Understanding Points of Correspondence between Sentences for Abstractive Summarization
Logan Lebanoff
John Muchovej
Franck Dernoncourt
Doo Soon Kim
Lidan Wang
Walter Chang
Fei Liu
14
27
0
10 Jun 2020
Question-Driven Summarization of Answers to Consumer Health Questions
Question-Driven Summarization of Answers to Consumer Health Questions
Max E. Savery
Asma Ben Abacha
Soumya Gayen
Dina Demner-Fushman
33
78
0
18 May 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
26
1,001
0
02 May 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
193
40
0
19 Mar 2020
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