No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

7 November 2022

Papers citing "No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media"

6 / 6 papers shown

Title
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said Yejin Bang Delong Chen Nayeon Lee Pascale Fung 40 26 0 27 Mar 2024
A Note on Bias to Complete Jia Xu Mona Diab 49 2 0 18 Feb 2024
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 44 21 0 13 Jun 2023
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 89 51 0 01 Oct 2021
Controlled Neural Sentence-Level Reframing of News Articles Wei-Fan Chen Khalid Al Khatib Benno Stein Henning Wachsmuth 37 13 0 10 Sep 2021
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 296 31,267 0 16 Jan 2013