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Automatically Inferring Gender Associations from Language

Automatically Inferring Gender Associations from Language

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
30 August 2019
Serina Chang
Kathleen McKeown
    FaML
ArXiv (abs)PDFHTML

Papers citing "Automatically Inferring Gender Associations from Language"

6 / 6 papers shown
Title
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNNAI4TS
279
2
0
26 Jul 2024
Theories of "Gender" in NLP Bias Research
Theories of "Gender" in NLP Bias ResearchConference on Fairness, Accountability and Transparency (FAccT), 2022
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
206
86
0
05 May 2022
Detecting Objectifying Language in Online Professor Reviews
Detecting Objectifying Language in Online Professor Reviews
Angie Waller
Kyle Gorman
57
2
0
16 Oct 2020
A Unified Feature Representation for Lexical Connotations
A Unified Feature Representation for Lexical ConnotationsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Emily Allaway
Kathleen McKeown
125
6
0
31 May 2020
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
284
216
0
10 Nov 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
267
0
0
13 Dec 2018
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