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What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
April 11, 2024, 4:46 a.m. | Jeongrok Yu, Seong Ug Kim, Jacob Choi, Jinho D. Choi
cs.CL updates on arXiv.org arxiv.org
Abstract: Bias is a disproportionate prejudice in favor of one side against another. Due to the success of transformer-based Masked Language Models (MLMs) and their impact on many NLP tasks, a systematic evaluation of bias in these models is needed more than ever. While many studies have evaluated gender bias in English MLMs, only a few works have been conducted for the task in other languages. This paper proposes a multilingual approach to estimate gender bias …
abstract arxiv bias cs.cl evaluation gender gender bias impact language language models multilingual nlp success tasks transformer type
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