Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

11 May 2018

Papers citing "Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems"

50 / 250 papers shown

Title
Representation biases in sentence transformers Dmitry Nikolaev Sebastian Padó 26 7 0 30 Jan 2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples Masahiro Kaneko Danushka Bollegala Naoaki Okazaki 26 9 0 28 Jan 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models Saghar Hosseini Hamid Palangi Ahmed Hassan Awadallah 22 22 0 22 Jan 2023
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models Anoop Kadan P Deepak Sahely Bhadra Manjary P.Gangan L. LajishV. 19 2 0 21 Jan 2023
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models Xingmeng Zhao A. Niazi Anthony Rios 25 2 0 24 Dec 2022
Trustworthy Social Bias Measurement Rishi Bommasani Percy Liang 27 10 0 20 Dec 2022
Undesirable Biases in NLP: Addressing Challenges of Measurement Oskar van der Wal Dominik Bachmann Alina Leidinger L. Maanen Willem H. Zuidema K. Schulz 19 6 0 24 Nov 2022
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness A. Zayed Prasanna Parthasarathi Gonçalo Mordido Hamid Palangi Samira Shabanian Sarath Chandar 26 21 0 20 Nov 2022
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals Maarten De Raedt Fréderic Godin Chris Develder Thomas Demeester 13 1 0 21 Oct 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation Hadas Orgad Yonatan Belinkov 27 35 0 20 Oct 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information I. Nejadgholi Esma Balkir Kathleen C. Fraser S. Kiritchenko 40 3 0 19 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 28 6 0 14 Oct 2022
Controlling Bias Exposure for Fair Interpretable Predictions Zexue He Yu-Xiang Wang Julian McAuley Bodhisattwa Prasad Majumder 22 19 0 14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Quantifying Social Biases Using Templates is Unreliable P. Seshadri Pouya Pezeshkpour Sameer Singh 51 33 0 09 Oct 2022
The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning Angelie Kraft Ricardo Usbeck 14 4 0 07 Oct 2022
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks Masahiro Kaneko Danushka Bollegala Naoaki Okazaki 26 41 0 06 Oct 2022
Re-contextualizing Fairness in NLP: The Case of India Shaily Bhatt Sunipa Dev Partha P. Talukdar Shachi Dave Vinodkumar Prabhakaran 11 54 0 25 Sep 2022
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling Thiemo Wambsganss Vinitra Swamy Roman Rietsche Tanja Kaser 44 8 0 21 Sep 2022
Power of Explanations: Towards automatic debiasing in hate speech detection Yitao Cai Arthur Zimek Gerhard Wunder Eirini Ntoutsi 34 6 0 07 Sep 2022
Measuring and signing fairness as performance under multiple stakeholder distributions David Lopez-Paz Diane Bouchacourt Levent Sagun Nicolas Usunier 24 7 0 20 Jul 2022
Towards Lexical Gender Inference: A Scalable Methodology using Online Databases Marion Bartl Susan Leavy 31 1 0 28 Jun 2022
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias Yarden Tal Inbal Magar Roy Schwartz 17 33 0 20 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 30 10 0 14 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 16 30 0 09 Jun 2022
Resolving the Human Subjects Status of Machine Learning's Crowdworkers Divyansh Kaushik Zachary Chase Lipton A. London 25 2 0 08 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 21 36 0 08 Jun 2022
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues Sandhya Singh Prapti Roy Nihar Ranjan Sahoo Niteesh Mallela Himanshu Gupta ... Milind Savagaonkar Nidhi Roshni Ramnani Anutosh Maitra Shubhashis Sengupta 25 13 0 31 May 2022
Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy Kathleen C. Fraser S. Kiritchenko Esma Balkir 117 37 0 25 May 2022
On Measuring Social Biases in Prompt-Based Multi-Task Learning Afra Feyza Akyürek Sejin Paik Muhammed Yusuf Kocyigit S. Akbiyik cSerife Leman Runyun Derry Wijaya ALM 36 14 0 23 May 2022
Challenges in Measuring Bias via Open-Ended Language Generation Afra Feyza Akyürek Muhammed Yusuf Kocyigit Sejin Paik Derry Wijaya 38 22 0 23 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 24 3 0 22 May 2022
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation Samhita Honnavalli Aesha Parekh Li-hsueh Ou Sophie Groenwold Sharon Levy Vicente Ordonez William Yang Wang 17 4 0 19 May 2022
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 33 16 0 12 May 2022
Mitigating Gender Stereotypes in Hindi and Marathi Neeraja Kirtane Tanvi Anand 24 8 0 12 May 2022
Theories of "Gender" in NLP Bias Research Hannah Devinney Jenny Björklund H. Björklund AI4CE 15 65 0 05 May 2022
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models Abdulaziz A. Almuzaini V. Singh MLAU FaML 33 6 0 22 Apr 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 20 0 0 22 Apr 2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias Anoop Kadan Manjary P.Gangan Deepak P L. LajishV. AI4CE 34 10 0 21 Apr 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters Hadas Orgad Seraphina Goldfarb-Tarrant Yonatan Belinkov 26 18 0 14 Apr 2022
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification Xiaolei Huang FaML 13 8 0 12 Apr 2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis Ehsan Hosseini-Asl Wenhao Liu Caiming Xiong 15 24 0 11 Apr 2022
Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic Antonio Camara Nina Taneja Tamjeed Azad Emily Allaway R. Zemel 16 21 0 07 Apr 2022
VALUE: Understanding Dialect Disparity in NLU Caleb Ziems Jiaao Chen Camille Harris J. Anderson Diyi Yang ELM 44 41 0 06 Apr 2022
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching Alissa Ostapenko S. Wintner Melinda Fricke Yulia Tsvetkov 37 5 0 16 Mar 2022
Gradient Based Activations for Accurate Bias-Free Learning V. Kurmi Rishabh Sharma Yash Sharma Vinay P. Namboodiri FaML 21 2 0 17 Feb 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 15 89 0 15 Feb 2022
Counterfactual Multi-Token Fairness in Text Classification P. Lohia 19 3 0 08 Feb 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 30 109 0 28 Dec 2021
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 31 35 0 07 Dec 2021