A Survey on Bias and Fairness in Natural Language Processing

6 March 2022

Papers citing "A Survey on Bias and Fairness in Natural Language Processing"

8 / 8 papers shown

Title
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard Avinash Agarwal Mayashankar Kumar Manisha J Nene 369 1 0 10 Apr 2025
Towards Debiasing Sentence Representations Paul Pu Liang Irene Li Emily Zheng Y. Lim Ruslan Salakhutdinov Louis-Philippe Morency 68 238 0 16 Jul 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 96 259 0 09 Nov 2019
Getting Gender Right in Neural Machine Translation Eva Vanmassenhove Christian Hardmeier Andy Way 64 195 0 11 Sep 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 105 555 0 21 Jun 2019
Identifying and Reducing Gender Bias in Word-Level Language Models Shikha Bordia Samuel R. Bowman FaML 109 325 0 05 Apr 2019
Learning Gender-Neutral Word Embeddings Jieyu Zhao Yichao Zhou Zeyu Li Wei Wang Kai-Wei Chang FaML 88 412 0 29 Aug 2018
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes Nikhil Garg L. Schiebinger Dan Jurafsky James Zou AI4TS 69 959 0 22 Nov 2017