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Evaluating the Factual Consistency of Abstractive Text Summarization

Evaluating the Factual Consistency of Abstractive Text Summarization

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
28 October 2019
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
    HILM
ArXiv (abs)PDFHTML

Papers citing "Evaluating the Factual Consistency of Abstractive Text Summarization"

50 / 491 papers shown
Title
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness
  Trade-off in Abstractive Summarization
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Faisal Ladhak
Esin Durmus
He He
Claire Cardie
Kathleen McKeown
134
69
0
31 Aug 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
387
170
0
30 Aug 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual
  Estimation
Factual Consistency Evaluation for Text Summarization via Counterfactual EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Yuexiang Xie
Fei Sun
Yang Deng
Yaliang Li
Bolin Ding
HILM
160
55
0
30 Aug 2021
ComSum: Commit Messages Summarization and Meaning Preservation
ComSum: Commit Messages Summarization and Meaning Preservation
Leshem Choshen
Idan Amit
109
5
0
23 Aug 2021
Accurate, yet inconsistent? Consistency Analysis on Language
  Understanding Models
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models
Myeongjun Jang
D. Kwon
Thomas Lukasiewicz
102
14
0
15 Aug 2021
MeetSum: Transforming Meeting Transcript Summarization using
  Transformers!
MeetSum: Transforming Meeting Transcript Summarization using Transformers!
Nima Sadri
Bohan Zhang
Bihan Liu
49
1
0
13 Aug 2021
Evaluating the Tradeoff Between Abstractiveness and Factuality in
  Abstractive Summarization
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive SummarizationFindings (Findings), 2021
Markus Dreyer
Mengwen Liu
Feng Nan
Sandeep Atluri
Sujith Ravi
HILM
123
18
0
05 Aug 2021
Summary Explorer: Visualizing the State of the Art in Text Summarization
Summary Explorer: Visualizing the State of the Art in Text Summarization
S. Syed
Tariq Yousef
Khalid Al Khatib
S. Jänicke
Martin Potthast
ELM
92
10
0
04 Aug 2021
Logic-Consistency Text Generation from Semantic Parses
Logic-Consistency Text Generation from Semantic Parses
Chang Shu
Yusen Zhang
Xiangyu Dong
Peng Shi
Tao Yu
Rui Zhang
176
34
0
02 Aug 2021
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
Keep it Simple: Unsupervised Simplification of Multi-Paragraph TextAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
116
68
0
07 Jul 2021
Improving Factual Consistency of Abstractive Summarization on Customer
  Feedback
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
Yang Liu
Yifei Sun
Vincent Gao
HILM
78
8
0
30 Jun 2021
BARTScore: Evaluating Generated Text as Text Generation
BARTScore: Evaluating Generated Text as Text GenerationNeural Information Processing Systems (NeurIPS), 2021
Weizhe Yuan
Graham Neubig
Pengfei Liu
306
931
0
22 Jun 2021
How well do you know your summarization datasets?
How well do you know your summarization datasets?Findings (Findings), 2021
Priyam Tejaswin
Dhruv Naik
Peng Liu
142
29
0
21 Jun 2021
DocNLI: A Large-scale Dataset for Document-level Natural Language
  Inference
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceFindings (Findings), 2021
Wenpeng Yin
Dragomir R. Radev
Caiming Xiong
HILM
156
102
0
17 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking
  and Evaluation
Synthesizing Adversarial Negative Responses for Robust Response Ranking and EvaluationFindings (Findings), 2021
Prakhar Gupta
Yulia Tsvetkov
Jeffrey P. Bigham
128
24
0
10 Jun 2021
AgreeSum: Agreement-Oriented Multi-Document Summarization
AgreeSum: Agreement-Oriented Multi-Document SummarizationFindings (Findings), 2021
Richard Yuanzhe Pang
Á. Lelkes
Vinh Q. Tran
Cong Yu
111
18
0
04 Jun 2021
To Point or Not to Point: Understanding How Abstractive Summarizers
  Paraphrase Text
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase TextFindings (Findings), 2021
Matthew Wilber
William Timkey
Marten van Schijndel
164
8
0
03 Jun 2021
Dissecting Generation Modes for Abstractive Summarization Models via
  Ablation and Attribution
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Jiacheng Xu
Greg Durrett
119
17
0
03 Jun 2021
Question-aware Transformer Models for Consumer Health Question
  Summarization
Question-aware Transformer Models for Consumer Health Question SummarizationJournal of Biomedical Informatics (JBI), 2021
S. Yadav
D. Gupta
Asma Ben Abacha
Dina Demner-Fushman
ELMMedIm
136
32
0
01 Jun 2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Focus Attention: Promoting Faithfulness and Diversity in SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Rahul Aralikatte
Shashi Narayan
Joshua Maynez
S. Rothe
Ryan T. McDonald
169
49
0
25 May 2021
Should We Trust This Summary? Bayesian Abstractive Summarization to The
  Rescue
Should We Trust This Summary? Bayesian Abstractive Summarization to The RescueFindings (Findings), 2021
Alexios Gidiotis
Grigorios Tsoumakas
UQCVUDBDL
142
10
0
21 May 2021
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
DialogSum: A Real-Life Scenario Dialogue Summarization DatasetFindings (Findings), 2021
Yulong Chen
Yang Liu
Liang Chen
Yue Zhang
255
272
0
14 May 2021
Improving Factual Consistency of Abstractive Summarization via Question
  Answering
Improving Factual Consistency of Abstractive Summarization via Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Feng Nan
Cicero Nogueira dos Santos
Henghui Zhu
Patrick Ng
Kathleen McKeown
Ramesh Nallapati
Dejiao Zhang
Zhiguo Wang
Andrew O. Arnold
Bing Xiang
HILM
117
90
0
10 May 2021
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkTransactions of the Association for Computational Linguistics (TACL), 2021
Nouha Dziri
Hannah Rashkin
Tal Linzen
David Reitter
ALM
405
90
0
30 Apr 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
265
115
0
30 Apr 2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge
  Summaries from Prior Notes
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
Han-Chin Shing
Chaitanya P. Shivade
Nima Pourdamghani
Feng Nan
Philip Resnik
Douglas W. Oard
Parminder Bhatia
115
29
0
27 Apr 2021
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
436
337
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 SelectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Sihao Chen
Fan Zhang
Kazoo Sone
Dan Roth
HILM
173
112
0
19 Apr 2021
Learning with Instance Bundles for Reading Comprehension
Learning with Instance Bundles for Reading ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Dheeru Dua
Pradeep Dasigi
Sameer Singh
Matt Gardner
92
11
0
18 Apr 2021
Can NLI Models Verify QA Systems' Predictions?
Can NLI Models Verify QA Systems' Predictions?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Jifan Chen
Eunsol Choi
Greg Durrett
190
57
0
18 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 GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
372
173
0
18 Apr 2021
Transductive Learning for Abstractive News Summarization
Transductive Learning for Abstractive News Summarization
Arthur Bravzinskas
Mengwen Liu
Ramesh Nallapati
Sujith Ravi
Markus Dreyer
AI4TS
113
1
0
17 Apr 2021
Multi-Perspective Abstractive Answer Summarization
Multi-Perspective Abstractive Answer Summarization
Alexander R. Fabbri
Xiaojian Wu
Srini Iyer
Mona T. Diab
108
7
0
17 Apr 2021
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path
  Grounding
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path GroundingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Nouha Dziri
Andrea Madotto
Osmar Zaiane
A. Bose
HILM
122
151
0
17 Apr 2021
$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues
  via Question Generation and Question Answering
Q2Q^{2}Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Or Honovich
Leshem Choshen
Roee Aharoni
Ella Neeman
Idan Szpektor
Omri Abend
HILM
258
149
0
16 Apr 2021
Sometimes We Want Translationese
Sometimes We Want Translationese
Prasanna Parthasarathi
Koustuv Sinha
J. Pineau
Adina Williams
AAML
129
4
0
15 Apr 2021
Planning with Learned Entity Prompts for Abstractive Summarization
Planning with Learned Entity Prompts for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL), 2021
Shashi Narayan
Yao-Min Zhao
Joshua Maynez
Gonçalo Simões
Vitaly Nikolaev
Ryan T. McDonald
LRM
170
128
0
15 Apr 2021
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for
  Text Summarization
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Jesse Vig
Wojciech Kry'sciñski
Karan Goel
Nazneen Rajani
149
24
0
15 Apr 2021
Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings
Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings
Oleg V. Vasilyev
John Bohannon
HILM
94
7
0
12 Apr 2021
Towards objectively evaluating the quality of generated medical
  summaries
Towards objectively evaluating the quality of generated medical summaries
Francesco Moramarco
Damir Juric
Aleksandar Savkov
Ehud Reiter
70
9
0
09 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in SummarizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Tanya Goyal
Greg Durrett
HILM
136
162
0
09 Apr 2021
Nutribullets Hybrid: Multi-document Health Summarization
Nutribullets Hybrid: Multi-document Health Summarization
Darsh J. Shah
L. Yu
Tao Lei
Regina Barzilay
119
3
0
08 Apr 2021
Efficient Attentions for Long Document Summarization
Efficient Attentions for Long Document SummarizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
L. Huang
Shuyang Cao
Nikolaus Nova Parulian
Heng Ji
Lu Wang
206
338
0
05 Apr 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries
A New Approach to Overgenerating and Scoring Abstractive SummariesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Kaiqiang Song
Bingqing Wang
Z. Feng
Fei Liu
152
18
0
05 Apr 2021
Mitigating Media Bias through Neutral Article Generation
Mitigating Media Bias through Neutral Article Generation
Nayeon Lee
Yejin Bang
Andrea Madotto
Pascale Fung
95
8
0
01 Apr 2021
QuestEval: Summarization Asks for Fact-based Evaluation
QuestEval: Summarization Asks for Fact-based EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Thomas Scialom
Paul-Alexis Dray
Patrick Gallinari
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
Alex Jinpeng Wang
HILM
186
306
0
23 Mar 2021
Nutri-bullets: Summarizing Health Studies by Composing Segments
Nutri-bullets: Summarizing Health Studies by Composing SegmentsAAAI Conference on Artificial Intelligence (AAAI), 2021
Darsh J. Shah
L. Yu
Tao Lei
Regina Barzilay
134
10
0
22 Mar 2021
Play the Shannon Game With Language Models: A Human-Free Approach to
  Summary Evaluation
Play the Shannon Game With Language Models: A Human-Free Approach to Summary EvaluationAAAI Conference on Artificial Intelligence (AAAI), 2021
Nicholas Egan
Oleg V. Vasilyev
John Bohannon
HILM
115
20
0
19 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Tal Schuster
Adam Fisch
Regina Barzilay
158
252
0
15 Mar 2021
WebRED: Effective Pretraining And Finetuning For Relation Extraction On
  The Web
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web
Róbert Ormándi
Mohammad Saleh
Erin Winter
Vinay Rao
63
11
0
18 Feb 2021
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