ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.02321
  4. Cited By
Guiding Extractive Summarization with Question-Answering Rewards

Guiding Extractive Summarization with Question-Answering Rewards

4 April 2019
Kristjan Arumae
Fei Liu
ArXiv (abs)PDFHTML

Papers citing "Guiding Extractive Summarization with Question-Answering Rewards"

23 / 23 papers shown
How to Train Text Summarization Model with Weak Supervisions
How to Train Text Summarization Model with Weak Supervisions
Y Samuel Wang
Wenyu Chen
Shimin Shan
219
0
0
27 Aug 2024
Embrace Divergence for Richer Insights: A Multi-document Summarization
  Benchmark and a Case Study on Summarizing Diverse Information from News
  Articles
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News ArticlesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Kung-Hsiang Huang
Philippe Laban
Alexander R. Fabbri
Prafulla Kumar Choubey
Shafiq Joty
Caiming Xiong
Chien-Sheng Wu
384
45
0
17 Sep 2023
Factually Consistent Summarization via Reinforcement Learning with
  Textual Entailment Feedback
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Paul Roit
Johan Ferret
Lior Shani
Roee Aharoni
Geoffrey Cideron
...
Olivier Bachem
G. Elidan
Avinatan Hassidim
Olivier Pietquin
Idan Szpektor
HILM
369
106
0
31 May 2023
DecipherPref: Analyzing Influential Factors in Human Preference
  Judgments via GPT-4
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ye Hu
Kaiqiang Song
Sangwoo Cho
Xiaoyang Wang
H. Foroosh
Fei Liu
399
17
0
24 May 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengwei Qin
Cunliang Kong
Ruochen Zhao
Shafiq Joty
VLMLRM
429
17
0
16 Feb 2023
mFACE: Multilingual Summarization with Factual Consistency Evaluation
mFACE: Multilingual Summarization with Factual Consistency EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Roee Aharoni
Shashi Narayan
Joshua Maynez
Jonathan Herzig
Elizabeth Clark
Mirella Lapata
HILM
337
56
0
20 Dec 2022
Conditional Generation with a Question-Answering Blueprint
Conditional Generation with a Question-Answering BlueprintTransactions of the Association for Computational Linguistics (TACL), 2022
Shashi Narayan
Joshua Maynez
Reinald Kim Amplayo
Kuzman Ganchev
Annie Louis
Fantine Huot
Anders Sandholm
Dipanjan Das
Mirella Lapata
410
60
0
01 Jul 2022
ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and
  Evaluation
ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and EvaluationInternational Conference on Language Resources and Evaluation (LREC), 2022
Peter Polák
Muskaan Singh
A. Nedoluzhko
Ondrej Bojar
217
9
0
11 May 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language GenerationACM Computing Surveys (ACM CSUR), 2022
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILMLRM
1.1K
3,988
0
08 Feb 2022
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
HILM
391
493
0
18 Nov 2021
Incorporating Question Answering-Based Signals into Abstractive
  Summarization via Salient Span Selection
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span SelectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Daniel Deutsch
Dan Roth
275
7
0
15 Nov 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
247
52
0
25 May 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
258
33
0
27 Apr 2021
Ontology-based and User-focused Automatic Text Summarization (OATS):
  Using COVID-19 Risk Factors as an Example
Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example
Po-Hsu Chen
Amy Leibrand
Jordan Vasko
M. Gauthier
143
1
0
18 Nov 2020
CapWAP: Captioning with a Purpose
CapWAP: Captioning with a Purpose
Adam Fisch
Kenton Lee
Ming-Wei Chang
J. Clark
Regina Barzilay
211
12
0
09 Nov 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven
  Cloze Reward
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze RewardAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Luyang Huang
Lingfei Wu
Lu Wang
RALM
346
169
0
03 May 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
402
1,355
0
02 May 2020
Modelling Latent Skills for Multitask Language Generation
Modelling Latent Skills for Multitask Language Generation
Kris Cao
Dani Yogatama
216
3
0
21 Feb 2020
Rethinking Cooperative Rationalization: Introspective Extraction and
  Complement Control
Rethinking Cooperative Rationalization: Introspective Extraction and Complement ControlConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
442
155
0
29 Oct 2019
Towards Annotating and Creating Sub-Sentence Summary Highlights
Towards Annotating and Creating Sub-Sentence Summary HighlightsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Kristjan Arumae
Parminder Bhatia
Fei Liu
166
8
0
17 Oct 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models
Finding Generalizable Evidence by Learning to Convince Q&A ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Ethan Perez
Siddharth Karamcheti
Rob Fergus
Jason Weston
Douwe Kiela
Dong Wang
RALM
286
40
0
12 Sep 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Thomas Scialom
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
262
157
0
04 Sep 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without
  References
Better Rewards Yield Better Summaries: Learning to Summarise Without ReferencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
F. Böhm
Yang Gao
Christian M. Meyer
Ori Shapira
Ido Dagan
Iryna Gurevych
275
117
0
03 Sep 2019
1
Page 1 of 1