Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic
Information Preserving

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

9 December 2021

Wenxing Guo

Papers citing "Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving"

5 / 5 papers shown

Title
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 62 8 0 28 Sep 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 25 3 0 05 Aug 2023
NBIAS: A Natural Language Processing Framework for Bias Identification in Text Shaina Razaa Muskan Garg Deepak John Reji Syed Raza Bashir Chen Ding 42 45 0 03 Aug 2023
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
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 290 31,267 0 16 Jan 2013