Evaluating Metrics for Bias in Word Embeddings

15 November 2021

Barbara Hammer

Papers citing "Evaluating Metrics for Bias in Word Embeddings"

25 / 25 papers shown

Title
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations Fangyu Liu Yunlong Jiao Jordan Massiah Emine Yilmaz Serhii Havrylov SSL 113 29 0 27 Sep 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao Xingcheng Yao Danqi Chen AILaw SSL 274 3,407 0 18 Apr 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 43 94 0 24 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 79 38 0 23 Jan 2021
Towards Debiasing Sentence Representations Paul Pu Liang Irene Li Emily Zheng Y. Lim Ruslan Salakhutdinov Louis-Philippe Morency 78 239 0 16 Jul 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 138 387 0 16 Apr 2020
Examining Gender Bias in Languages with Grammatical Gender Pei Zhou Weijia Shi Jieyu Zhao Kuan-Hao Huang Muhao Chen Ryan Cotterell Kai-Wei Chang 65 106 0 05 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,295 0 27 Aug 2019
Understanding Undesirable Word Embedding Associations Kawin Ethayarajh David Duvenaud Graeme Hirst FaML 47 125 0 18 Aug 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 106 451 0 18 Jun 2019
Conceptor Debiasing of Word Representations Evaluated on WEAT S. Karve Lyle Ungar João Sedoc FaML 54 34 0 14 Jun 2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings Christine Basta Marta R. Costa-jussá Noe Casas 64 193 0 18 Apr 2019
Gender Bias in Contextualized Word Embeddings Jieyu Zhao Tianlu Wang Mark Yatskar Ryan Cotterell Vicente Ordonez Kai-Wei Chang FaML 123 421 0 05 Apr 2019
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings Thomas Manzini Y. Lim Yulia Tsvetkov A. Black FaML 87 308 0 03 Apr 2019
On Measuring Social Biases in Sentence Encoders Chandler May Alex Jinpeng Wang Shikha Bordia Samuel R. Bowman Rachel Rudinger 99 603 0 25 Mar 2019
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them Hila Gonen Yoav Goldberg 104 571 0 09 Mar 2019
What are the biases in my word embedding? Nathaniel Swinger Maria De-Arteaga IV NeilThomasHeffernan Mark D. M. Leiserson Adam Tauman Kalai 36 104 0 20 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Text Similarity in Vector Space Models: A Comparative Study O. Shahmirzadi A. Lugowski Kenneth Younge 39 81 0 24 Sep 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang 124 941 0 18 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian Adam Trischler Yoshua Bengio C. Pal SSL 69 330 0 30 Mar 2018
Universal Sentence Encoder Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco ... Steve Yuan Chris Tar Yun-hsuan Sung B. Strope R. Kurzweil 439 1,907 0 29 Mar 2018
Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan J. Bryson Arvind Narayanan 213 2,673 0 25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 110 3,148 0 21 Jul 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 680 31,538 0 16 Jan 2013