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It's All in the Name: Mitigating Gender Bias with Name-Based
  Counterfactual Data Substitution
v1v2v3 (latest)

It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
2 September 2019
Rowan Hall Maudslay
Hila Gonen
Robert Bamler
Simone Teufel
ArXiv (abs)PDFHTML

Papers citing "It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution"

6 / 106 papers shown
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Emily Dinan
Angela Fan
Adina Williams
Jack Urbanek
Douwe Kiela
Jason Weston
368
217
0
10 Nov 2019
Towards Understanding Gender Bias in Relation Extraction
Towards Understanding Gender Bias in Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Andrew Gaut
Tony Sun
Shirlyn Tang
Yuxin Huang
Jing Qian
...
Jieyu Zhao
Diba Mirza
E. Belding
Kai-Wei Chang
William Yang Wang
FaML
356
44
0
09 Nov 2019
Does Gender Matter? Towards Fairness in Dialogue Systems
Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING), 2019
Haochen Liu
Jamell Dacon
Wenqi Fan
Hui Liu
Zitao Liu
Shucheng Zhou
233
151
0
16 Oct 2019
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented DataInternational Conference on Learning Representations (ICLR), 2019
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
369
608
0
26 Sep 2019
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor
Fair is Better than Sensational:Man is to Doctor as Woman is to DoctorInternational Conference on Computational Logic (ICCL), 2019
Malvina Nissim
Rik van Noord
Rob van der Goot
FaML
251
107
0
23 May 2019
Measuring Societal Biases from Text Corpora with Smoothed First-Order
  Co-occurrence
Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence
Navid Rekabsaz
Robert West
James Henderson
Allan Hanbury
304
0
0
13 Dec 2018
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