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2108.01182
Cited By
Underreporting of errors in NLG output, and what to do about it
2 August 2021
Emiel van Miltenburg
Miruna Clinciu
Ondrej Dusek
Dimitra Gkatzia
Stephanie Inglis
Leo Leppanen
Saad Mahamood
Emma Manning
S. Schoch
Craig Thomson
Luou Wen
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Papers citing
"Underreporting of errors in NLG output, and what to do about it"
18 / 18 papers shown
Title
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
56
39
0
24 Mar 2022
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Markus Freitag
George F. Foster
David Grangier
Viresh Ratnakar
Qijun Tan
Wolfgang Macherey
142
388
0
29 Apr 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
258
310
0
27 Apr 2021
Preregistering NLP Research
Emiel van Miltenburg
Chris van der Lee
E. Krahmer
AI4CE
47
23
0
11 Mar 2021
Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations
David Beauchemin
Nicolas Garneau
Eve Gaumond
Pierre-Luc Déziel
Richard Khoury
Luc Lamontagne
AILaw
47
9
0
24 Nov 2020
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems
Craig Thomson
Ehud Reiter
46
52
0
08 Nov 2020
Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model
Jason Obeid
Enamul Hoque
59
137
0
18 Oct 2020
With Little Power Comes Great Responsibility
Dallas Card
Peter Henderson
Urvashi Khandelwal
Robin Jia
Kyle Mahowald
Dan Jurafsky
258
117
0
13 Oct 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Marco Tulio Ribeiro
Tongshuang Wu
Carlos Guestrin
Sameer Singh
ELM
182
1,100
0
08 May 2020
Semantic Noise Matters for Neural Natural Language Generation
Ondrej Dusek
David M. Howcroft
Verena Rieser
64
118
0
10 Nov 2019
Show Your Work: Improved Reporting of Experimental Results
Jesse Dodge
Suchin Gururangan
Dallas Card
Roy Schwartz
Noah A. Smith
72
255
0
06 Sep 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
129
1,234
0
04 Feb 2019
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
ELM
76
232
0
23 Jan 2019
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
123
1,886
0
05 Oct 2018
Findings of the E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
63
115
0
02 Oct 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
83
1,855
0
31 May 2018
Challenges in Data-to-Document Generation
Sam Wiseman
Stuart M. Shieber
Alexander M. Rush
143
588
0
25 Jul 2017
Room for improvement in automatic image description: an error analysis
Emiel van Miltenburg
Desmond Elliott
3DV
40
12
0
13 Apr 2017
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