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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
RobBERT: a Dutch RoBERTa-based Language Model Pieter Delobelle Thomas Winters Bettina Berendt 86 240 0 17 Jan 2020
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations Pinkesh Badjatiya Manish Gupta Vasudeva Varma 78 105 0 15 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 124 569 0 06 Jan 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics Debjani Saha Candice Schumann Duncan C. McElfresh John P. Dickerson Michelle L. Mazurek Michael Carl Tschantz FaML 65 17 0 17 Dec 2019
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models Lizhen Liang Daniel Ernesto Acuna 62 14 0 15 Dec 2019
BERT has a Moral Compass: Improvements of ethical and moral values of machines P. Schramowski Cigdem Turan Sophie F. Jentzsch Constantin Rothkopf Kristian Kersting FaML LM&Ro 65 30 0 11 Dec 2019
Measuring Social Bias in Knowledge Graph Embeddings Joseph Fisher Dave Palfrey Christos Christodoulopoulos Arpit Mittal FaML 73 37 0 05 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 104 366 0 26 Nov 2019
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations Zekun Yang Juan Feng FaML 60 35 0 25 Nov 2019
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 132 261 0 09 Nov 2019
Towards Understanding Gender Bias in Relation Extraction Andrew Gaut Tony Sun Shirlyn Tang Yuxin Huang Jing Qian ... Jieyu Zhao Diba Mirza E. Belding Kai-Wei Chang William Yang Wang FaML 92 41 0 09 Nov 2019
Advances in Machine Learning for the Behavioral Sciences Tomáš Kliegr Š. Bahník Johannes Furnkranz 38 14 0 08 Nov 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 109 217 0 08 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations Y. Tan Elisa Celis FaML 116 230 0 04 Nov 2019
Toward Gender-Inclusive Coreference Resolution Yang Trista Cao Hal Daumé 100 145 0 30 Oct 2019
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora M. C. Iordan Tyler Giallanza C. Ellis Nicole M. Beckage Jonathan Cohen 35 10 0 15 Oct 2019
Constrained Non-Affine Alignment of Embeddings Yuwei Wang Yan Zheng Yanqing Peng Chin-Chia Michael Yeh Zhongfang Zhuang Das Mahashweta Bendre Mangesh Feifei Li Wei Zhang J. M. Phillips 65 3 0 13 Oct 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases Vinodkumar Prabhakaran Ben Hutchinson Margaret Mitchell 77 119 0 09 Oct 2019
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection Ameya Vaidya Feng Mai Yue Ning 169 21 0 21 Sep 2019
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces Anne Lauscher Goran Glavaš Simone Paolo Ponzetto Ivan Vulić 80 64 0 13 Sep 2019
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts Jack Merullo Luke Yeh Abram Handler Alvin Grissom II Brendan O'Connor Mohit Iyyer 66 19 0 07 Sep 2019
Examining Gender Bias in Languages with Grammatical Gender Pei Zhou Weijia Shi Jieyu Zhao Kuan-Hao Huang Muhao Chen Ryan Cotterell Kai-Wei Chang 82 106 0 05 Sep 2019
Avoiding Resentment Via Monotonic Fairness G. W. Cole Sinead Williamson FaML 99 7 0 03 Sep 2019
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution Rowan Hall Maudslay Hila Gonen Ryan Cotterell Simone Teufel 79 172 0 02 Sep 2019
On Measuring and Mitigating Biased Inferences of Word Embeddings Sunipa Dev Tao Li J. M. Phillips Vivek Srikumar 107 174 0 25 Aug 2019
Release Strategies and the Social Impacts of Language Models Irene Solaiman Miles Brundage Jack Clark Amanda Askell Ariel Herbert-Voss ... Miles McCain Alex Newhouse Jason Blazakis Kris McGuffie Jasmine Wang 128 634 0 24 Aug 2019
Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance Mahault Garnerin Solange Rossato Laurent Besacier 53 52 0 23 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 605 4,425 0 23 Aug 2019
Understanding Undesirable Word Embedding Associations Kawin Ethayarajh David Duvenaud Graeme Hirst FaML 71 125 0 18 Aug 2019
Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News Jack Bandy N. Diakopoulos MLAU 83 55 0 01 Aug 2019
Decoding the Style and Bias of Song Lyrics M. Barman Amit Awekar Sambhav Kothari 25 6 0 17 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 88 120 0 28 Jun 2019
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis J. Bhaskaran Isha Bhallamudi 66 47 0 24 Jun 2019
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation Daniel Loureiro A. Jorge 85 138 0 24 Jun 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 138 563 0 21 Jun 2019
Considerations for the Interpretation of Bias Measures of Word Embeddings I. Mirzaev Anthony Schulte Michael D. Conover Sam Shah 55 3 0 19 Jun 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 121 454 0 18 Jun 2019
Conceptor Debiasing of Word Representations Evaluated on WEAT S. Karve Lyle Ungar João Sedoc FaML 65 34 0 14 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 74 363 0 11 Jun 2019
Training Temporal Word Embeddings with a Compass Valerio Di Carlo Federico Bianchi M. Palmonari 88 67 0 05 Jun 2019
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914 Rocco Tripodi M. Warglien S. Sullam Deborah Paci LLMSV 42 21 0 04 Jun 2019
Gender-preserving Debiasing for Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 72 131 0 03 Jun 2019
Can We Derive Explicit and Implicit Bias from Corpus? Bo Wang Baixiang Xue A. Greenwald 18 2 0 31 May 2019
Characterizing Bias in Classifiers using Generative Models Daniel J. McDuff Shuang Ma Yale Song Ashish Kapoor 92 47 0 30 May 2019
Racial Bias in Hate Speech and Abusive Language Detection Datasets Thomas Davidson Debasmita Bhattacharya Ingmar Weber 135 459 0 29 May 2019
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor Malvina Nissim Rik van Noord Rob van der Goot FaML 90 103 0 23 May 2019
Proportionally Fair Clustering Xingyu Chen Brandon Fain Charles Lyu Kamesh Munagala FedML FaML 95 144 0 09 May 2019
Distributional Semantics and Linguistic Theory Gemma Boleda 108 203 0 06 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 115 384 0 30 Apr 2019
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors Anne Lauscher Goran Glavaš 96 55 0 26 Apr 2019