Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition

ACM Conference on Hypertext & Social Media (HT), 2019

24 October 2019

Papers citing "Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition"

30 / 30 papers shown

Title
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? Yunbo Lyu Zhou Yang Ye Liu Jing Jiang David Lo 343 2 0 27 Jan 2025
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies Anaelia Ovalle Ninareh Mehrabi Palash Goyal Jwala Dhamala Kai-Wei Chang Richard Zemel Aram Galstyan Yuval Pinter Rahul Gupta 277 16 0 19 Dec 2023
Mitigating Bias for Question Answering Models by Tracking Bias InfluenceNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Mingyu Derek Ma Jiun-Yu Kao Arpit Gupta Yu-Hsiang Lin Wenbo Zhao Tagyoung Chung Wei Wang Kai-Wei Chang Nanyun Peng 217 9 0 13 Oct 2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges Jeff Z. Pan Simon Razniewski Jan-Christoph Kalo Sneha Singhania Jiaoyan Chen ... Gerard de Melo A. Bonifati Edlira Vakaj M. Dragoni D. Graux KELM 249 111 0 11 Aug 2023
National Origin Discrimination in Deep-learning-powered Automated Resume Screening Changhao Nai Kuangzheng Li Haibing Lu 159 5 0 13 Jul 2023
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning Sullam Jeoung Jana Diesner H. Kilicoglu LRM 105 6 0 01 Jun 2023
In the Name of Fairness: Assessing the Bias in Clinical Record De-identificationConference on Fairness, Accountability and Transparency (FAccT), 2023 Yuxin Xiao S. Lim Tom Pollard Marzyeh Ghassemi 187 18 0 18 May 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text RewritingLaw (LAW), 2023 Nina Mouhammad Johannes Daxenberger Benjamin Schiller Ivan Habernal 174 3 0 06 Mar 2023
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Xingmeng Zhao A. Niazi Anthony Rios 209 3 0 24 Dec 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs Angelie Kraft Ricardo Usbeck KELM 194 13 0 07 Oct 2022
Measuring Geographic Performance Disparities of Offensive Language ClassifiersInternational Conference on Computational Linguistics (COLING), 2022 Brandon Lwowski P. Rad Anthony Rios 183 6 0 15 Sep 2022
DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing Md. Naimul Hoque Bhavya Ghai Niklas Elmqvist 139 21 0 01 Sep 2022
An Approach to Ensure Fairness in News Articles Shaina Raza Deepak John Reji Dora D. Liu Syed Raza Bashir Usman Naseem FaML 105 1 0 08 Jul 2022
NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning ChallengeNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Alexander Spangher Xiang Ren Jonathan May Nanyun Peng KELM 230 28 0 14 Jun 2022
ER-Test: Evaluating Explanation Regularization Methods for Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Brihi Joshi Aaron Chan Ziyi Liu Shaoliang Nie Maziar Sanjabi Hamed Firooz Xiang Ren AAML 326 7 0 25 May 2022
Theories of "Gender" in NLP Bias ResearchConference on Fairness, Accountability and Transparency (FAccT), 2022 Hannah Devinney Jenny Björklund H. Björklund AI4CE 246 87 0 05 May 2022
User-Centric Gender RewritingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Bashar Alhafni Farah E. Shamout Houda Bouamor 121 10 0 04 May 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 144 12 0 24 Jan 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model BiasIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 143 14 0 20 Oct 2021
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses Bashar Alhafni Farah E. Shamout Houda Bouamor 171 22 0 18 Oct 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language TechnologiesConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Sunipa Dev Masoud Monajatipoor Anaelia Ovalle Arjun Subramonian J. M. Phillips Kai-Wei Chang 295 196 0 27 Aug 2021
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation ModelsInternational Conference on Natural Language Generation (INLG), 2021 Chloe Ciora Nur Iren Malihe Alikhani 174 23 0 23 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 225 107 0 07 Aug 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsTransactions of the Association for Computational Linguistics (TACL), 2021 Paula Czarnowska Yogarshi Vyas Kashif Shah 179 125 0 28 Jun 2021
NewsEdits: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing) Alexander Spangher Jonathan May KELM 171 4 0 19 Apr 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge ResourcesConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Ninareh Mehrabi Pei Zhou Fred Morstatter Jay Pujara Xiang Ren Aram Galstyan AILaw 198 45 0 21 Mar 2021
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies Kung-Hsiang Huang Nanyun Peng 324 36 0 24 Oct 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 803 1,472 0 28 May 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual TransferAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Jieyu Zhao Subhabrata Mukherjee Saghar Hosseini Kai-Wei Chang Ahmed Hassan Awadallah 198 94 0 02 May 2020
A Survey on Bias and Fairness in Machine LearningACM Computing Surveys (ACM CSUR), 2019 Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 1.1K 5,177 0 23 Aug 2019