Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings

By Masashi Takeshita, Yuki Katsumata, Rafal Rzepka, Kenji Araki. 2020

Subfields: Natural Language Processing, AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Henrik Björklund
2. Hannah Devinney
3. Jenny Björklund

Citations in the corpus

• Theories of “Gender” in NLP Bias Research (2022, background): “3314270 [144] Masashi Takeshita, Yuki Katsumata, Rafal Rzepka, and Kenji Araki.”