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"

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Title
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models Pranav Narayanan Venkit Shomir Wilson 14 25 0 25 Nov 2021
Assessing gender bias in medical and scientific masked language models with StereoSet Robert Robinson 17 3 0 15 Nov 2021
Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification Jared Mowery 17 2 0 14 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 24 71 0 27 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 28 30 0 07 Oct 2021
Multi-Objective Few-shot Learning for Fair Classification Ishani Mondal Procheta Sen Debasis Ganguly FaML 13 4 0 05 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens Saad Hassan Matt Huenerfauth Cecilia Ovesdotter Alm 46 38 0 01 Oct 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? Rochelle Choenni Ekaterina Shutova R. Rooij 88 29 0 21 Sep 2021
Adversarial Scrubbing of Demographic Information for Text Classification Somnath Basu Roy Chowdhury Sayan Ghosh Yiyuan Li Junier B. Oliva Shashank Srivastava Snigdha Chaturvedi 42 14 0 17 Sep 2021
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis Saif M. Mohammad 21 67 0 17 Sep 2021
On the validity of pre-trained transformers for natural language processing in the software engineering domain Julian von der Mosel Alexander Trautsch Steffen Herbold 40 67 0 10 Sep 2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation Shahar Levy Koren Lazar Gabriel Stanovsky 26 64 0 08 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural Language Inference Dimion Asael Zachary M. Ziegler Yonatan Belinkov 6 8 0 31 Aug 2021
On Measures of Biases and Harms in NLP Sunipa Dev Emily Sheng Jieyu Zhao Aubrie Amstutz Jiao Sun ... M. Sanseverino Jiin Kim Akihiro Nishi Nanyun Peng Kai-Wei Chang 31 80 0 07 Aug 2021
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena Eva Vanmassenhove J. Monti 29 14 0 05 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
Ethics Sheets for AI Tasks Saif M. Mohammad 14 31 0 02 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 21 104 0 28 Jun 2021
A Source-Criticism Debiasing Method for GloVe Embeddings Hope McGovern 30 3 0 25 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Zeerak Talat Yulia Tsvetkov 36 122 0 21 Jun 2021
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks Juan Manuel Pérez Mariela Rajngewerc Juan Carlos Giudici D. Furman Franco Luque Laura Alonso Alemany María Vanina Martínez 18 29 0 17 Jun 2021
Evaluating Gender Bias in Hindi-English Machine Translation Gauri Gupta Krithika Ramesh Sanjay Singh 19 22 0 16 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 19 134 0 16 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 27 8 0 15 Jun 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 31 47 0 14 May 2021
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus A. Luccioni J. Viviano 24 113 0 06 May 2021
Detoxifying Language Models Risks Marginalizing Minority Voices Albert Xu Eshaan Pathak Eric Wallace Suchin Gururangan Maarten Sap Dan Klein 13 121 0 13 Apr 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation Chong Zhang Jieyu Zhao Huan Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 18 10 0 12 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? Samuel R. Bowman George E. Dahl ELM ALM 30 156 0 05 Apr 2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders Pengyu Cheng Weituo Hao Siyang Yuan Shijing Si Lawrence Carin 25 100 0 11 Mar 2021
Towards generalisable hate speech detection: a review on obstacles and solutions Wenjie Yin A. Zubiaga 117 164 0 17 Feb 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models Hannah Rose Kirk Yennie Jun Haider Iqbal Elias Benussi Filippo Volpin F. Dreyer Aleksandar Shtedritski Yuki M. Asano 19 180 0 08 Feb 2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation Jwala Dhamala Tony Sun Varun Kumar Satyapriya Krishna Yada Pruksachatkun Kai-Wei Chang Rahul Gupta 11 371 0 27 Jan 2021
Diverse Adversaries for Mitigating Bias in Training Xudong Han Timothy Baldwin Trevor Cohn 11 61 0 25 Jan 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models Daniel de Vassimon Manela D. Errington Thomas Fisher B. V. Breugel Pasquale Minervini 6 88 0 24 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 488 0 31 Dec 2020
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals Zhao Wang A. Culotta CML OOD 12 98 0 18 Dec 2020
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 29 41 0 12 Nov 2020
Investigating Societal Biases in a Poetry Composition System Emily Sheng David C. Uthus 19 52 0 05 Nov 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias Marion Bartl Malvina Nissim Albert Gatt 17 122 0 27 Oct 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 35 5 0 24 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 252 426 0 15 Oct 2020
Measuring and Reducing Gendered Correlations in Pre-trained Models Kellie Webster Xuezhi Wang Ian Tenney Alex Beutel Emily Pitler Ellie Pavlick Jilin Chen Ed Chi Slav Petrov FaML 12 250 0 12 Oct 2020
LOGAN: Local Group Bias Detection by Clustering Jieyu Zhao Kai-Wei Chang 13 14 0 06 Oct 2020
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 26 27 0 06 Oct 2020
Explaining The Efficacy of Counterfactually Augmented Data Divyansh Kaushik Amrith Rajagopal Setlur Eduard H. Hovy Zachary Chase Lipton CML 20 81 0 05 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 32 615 0 04 Oct 2020