most citedA Causal Inference Method for Reducing Gender Bias in Word Embedding Relations

5 citations · 5 across the 1 of their papers we have counts for

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cs.CL2019★ 5 cited

A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations

Zekun Yang, Juan Feng

Word embedding has become essential for natural language processing as it boosts empirical performances of various tasks. However, recent research discovers that gender bias is inc…