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Semantics derived automatically from language corpora contain human-like biases

25 August 2016

Papers citing "Semantics derived automatically from language corpora contain human-like biases"

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Title
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation Shahar Levy Koren Lazar Gabriel Stanovsky 72 70 0 08 Sep 2021
Sustainable Modular Debiasing of Language Models Anne Lauscher Tobias Lüken Goran Glavaš 131 124 0 08 Sep 2021
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models Eric Michael Smith Adina Williams 120 28 0 07 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 95 20 0 01 Sep 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies Sunipa Dev Masoud Monajatipoor Anaelia Ovalle Arjun Subramonian J. M. Phillips Kai-Wei Chang 141 176 0 27 Aug 2021
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms Myra Cheng Maria De-Arteaga Lester W. Mackey Adam Tauman Kalai FaML 98 9 0 25 Aug 2021
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases Tobias Walter Celina Kirschner Steffen Eger Goran Glavaš Anne Lauscher Simone Paolo Ponzetto 70 20 0 13 Aug 2021
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 233 463 0 10 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 85 88 0 07 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 195 97 0 06 Aug 2021
Evolution of emotion semantics Aotao Xu J. Stellar Yang Xu CVBM 34 14 0 05 Aug 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 86 8 0 22 Jul 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 68 21 0 22 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 203 129 0 16 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 111 172 0 15 Jul 2021
Auditing for Diversity using Representative Examples Vijay Keswani L. E. Celis 69 3 0 15 Jul 2021
On the Interaction of Belief Bias and Explanations Ana Valeria González Anna Rogers Anders Søgaard FAtt 80 19 0 29 Jun 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 87 112 0 28 Jun 2021
A Source-Criticism Debiasing Method for GloVe Embeddings Hope McGovern 32 2 0 25 Jun 2021
Towards Understanding and Mitigating Social Biases in Language Models Paul Pu Liang Chiyu Wu Louis-Philippe Morency Ruslan Salakhutdinov 102 399 0 24 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Zeerak Talat Yulia Tsvetkov 97 124 0 21 Jun 2021
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift Maximilian Autenrieth David van Dyk R. Trotta D. Stenning OOD 25 3 0 21 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 71 138 0 16 Jun 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models Soumya Barikeri Anne Lauscher Ivan Vulić Goran Glavaš 100 184 0 07 Jun 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model Kathleen C. Fraser I. Nejadgholi S. Kiritchenko 74 41 0 04 Jun 2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants Gavin Abercrombie Amanda Cercas Curry Mugdha Pandya Verena Rieser 81 54 0 04 Jun 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages Abteen Ebrahimi Katharina Kann LRM VLM 98 70 0 03 Jun 2021
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia Jiao Sun Nanyun Peng 66 48 0 03 Jun 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives Meichun Jiao Ziyang Luo 63 9 0 01 Jun 2021
CogView: Mastering Text-to-Image Generation via Transformers Ming Ding Zhuoyi Yang Wenyi Hong Wendi Zheng Chang Zhou ... Junyang Lin Xu Zou Zhou Shao Hongxia Yang Jie Tang ViT VLM 155 784 0 26 May 2021
Bias in Machine Learning Software: Why? How? What to do? Joymallya Chakraborty Suvodeep Majumder Tim Menzies FaML 93 206 0 25 May 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking Zhiyi Ma Kawin Ethayarajh Tristan Thrush Somya Jain Ledell Yu Wu Robin Jia Christopher Potts Adina Williams Douwe Kiela ELM 115 59 0 21 May 2021
Obstructing Classification via Projection P. Haghighatkhah Wouter Meulemans Bettina Speckmann Jérôme Urhausen Kevin Verbeek 49 6 0 19 May 2021
A Deep Metric Learning Approach to Account Linking Aleem Khan Elizabeth Fleming N. Schofield M. Bishop Nicholas Andrews 59 23 0 15 May 2021
How Reliable are Model Diagnostics? V. Aribandi Yi Tay Donald Metzler 103 19 0 12 May 2021
Evaluating Gender Bias in Natural Language Inference Shanya Sharma Manan Dey Koustuv Sinha 81 41 0 12 May 2021
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus Jack Bandy Nicholas Vincent 69 57 0 11 May 2021
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus A. Luccioni J. Viviano 102 119 0 06 May 2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers Navid Rekabsaz Simone Kopeinik Markus Schedl 83 63 0 28 Apr 2021
Fair Representation Learning for Heterogeneous Information Networks Huiping Zhuang Rashidul Islam Kamrun Naher Keya James R. Foulds Yangqiu Song Shimei Pan 57 41 0 18 Apr 2021
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models Tejas Srinivasan Yonatan Bisk VLM 83 56 0 18 Apr 2021
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization Jesse Vig Wojciech Kry'sciñski Karan Goel Nazneen Rajani 69 22 0 15 Apr 2021
Unmasking the Mask -- Evaluating Social Biases in Masked Language Models Masahiro Kaneko Danushka Bollegala 66 72 0 15 Apr 2021
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach Francisco Valentini Germán Rosati Damián E. Blasi D. Slezak Edgar Altszyler 39 3 0 13 Apr 2021
Gender Bias in Machine Translation Beatrice Savoldi Marco Gaido L. Bentivogli Matteo Negri Marco Turchi 198 209 0 13 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders Brendan Chambers James A. Evans MedIm 46 0 0 13 Apr 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations Archit Rathore Sunipa Dev J. M. Phillips Vivek Srikumar Yan Zheng Chin-Chia Michael Yeh Junpeng Wang Wei Zhang Bei Wang 80 11 0 06 Apr 2021
Quantifying Bias in Automatic Speech Recognition Siyuan Feng O. Kudina B. Halpern O. Scharenborg 63 87 0 28 Mar 2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders Pengyu Cheng Weituo Hao Siyang Yuan Shijing Si Lawrence Carin 77 105 0 11 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do P. Schramowski Cigdem Turan Nico Andersen Constantin Rothkopf Kristian Kersting 120 298 0 08 Mar 2021