Understanding Undesirable Word Embedding Associations

18 August 2019

Papers citing "Understanding Undesirable Word Embedding Associations"

36 / 36 papers shown

Title
Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring Contexts Preethi Seshadri Seraphina Goldfarb-Tarrant 40 1 0 08 Jan 2025
Measuring Social Biases in Masked Language Models by Proxy of Prediction Quality Rahul Zalkikar Kanchan Chandra 37 1 0 21 Feb 2024
Learning to Generate Equitable Text in Dialogue from Biased Training Data Anthony Sicilia Malihe Alikhani 49 15 0 10 Jul 2023
Trustworthy Social Bias Measurement Rishi Bommasani Percy Liang 32 10 0 20 Dec 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection P. Haghighatkhah Antske Fokkens Pia Sommerauer Bettina Speckmann Kevin Verbeek 32 10 0 08 Dec 2022
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models Silke Husse Andreas Spitz 28 6 0 15 Nov 2022
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media Maximilian Spliethover Maximilian Keiff Henning Wachsmuth 26 4 0 07 Nov 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation Hadas Orgad Yonatan Belinkov 27 35 0 20 Oct 2022
Large scale analysis of gender bias and sexism in song lyrics L. Betti Carlo Abrate Andreas Kaltenbrunner 36 18 0 03 Aug 2022
The Birth of Bias: A case study on the evolution of gender bias in an English language model Oskar van der Wal Jaap Jumelet K. Schulz Willem H. Zuidema 32 16 0 21 Jul 2022
[Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement Jille van der Togt Lea Tiyavorabun Matteo Rosati Giulio Starace 7 0 0 03 Jun 2022
Mitigating Gender Stereotypes in Hindi and Marathi Neeraja Kirtane Tanvi Anand 32 8 0 12 May 2022
Richer Countries and Richer Representations Kaitlyn Zhou Kawin Ethayarajh Dan Jurafsky 46 9 0 10 May 2022
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words Kaitlyn Zhou Kawin Ethayarajh Dallas Card Dan Jurafsky 41 66 0 10 May 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters Hadas Orgad Seraphina Goldfarb-Tarrant Yonatan Belinkov 26 18 0 14 Apr 2022
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings Yi Zhou Masahiro Kaneko Danushka Bollegala 29 23 0 14 Mar 2022
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency Austin Van Loon Salvatore Giorgi Robb Willer J. Eichstaedt 42 10 0 20 Jan 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 30 110 0 28 Dec 2021
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 35 23 0 14 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 95 51 0 01 Oct 2021
Assessing the Reliability of Word Embedding Gender Bias Measures Yupei Du Qixiang Fang D. Nguyen 46 21 0 10 Sep 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 36 19 0 22 Jul 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models Soumya Barikeri Anne Lauscher Ivan Vulić Goran Glavas 45 178 0 07 Jun 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 22 3 0 13 Apr 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 38 38 0 23 Jan 2021
Argument from Old Man's View: Assessing Social Bias in Argumentation Maximilian Spliethover Henning Wachsmuth 14 20 0 24 Nov 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards Kawin Ethayarajh Dan Jurafsky ELM 24 51 0 29 Sep 2020
Cultural Cartography with Word Embeddings Dustin S. Stoltz Marshall A. Taylor 23 38 0 09 Jul 2020
MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline Yuhao Du K. Joseph 19 3 0 20 Jun 2020
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries Autumn Toney Aylin Caliskan 23 22 0 06 Jun 2020
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs Adina Williams Ryan Cotterell Lawrence Wolf-Sonkin Damián E. Blasi Hanna M. Wallach 34 19 0 03 May 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 157 54 0 03 May 2020
Multi-Dimensional Gender Bias Classification Emily Dinan Angela Fan Ledell Yu Wu Jason Weston Douwe Kiela Adina Williams FaML 22 122 0 01 May 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 26 369 0 16 Apr 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 43 46 0 24 Mar 2020
Automatically Neutralizing Subjective Bias in Text Reid Pryzant Richard Diehl Martinez Nathan Dass Sadao Kurohashi Dan Jurafsky Diyi Yang 33 175 0 21 Nov 2019