Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives

1 June 2021

Papers citing "Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives"

6 / 6 papers shown

Title
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels Panatchakorn Anantaprayoon Masahiro Kaneko Naoaki Okazaki 121 18 0 18 Sep 2023
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation Ge Zhang Yizhi Li Yaoyao Wu Linyuan Zhang Chenghua Lin Jiayi Geng Shi Wang Jie Fu 96 14 0 01 Jan 2023
Undesirable Biases in NLP: Addressing Challenges of Measurement Oskar van der Wal Dominik Bachmann Alina Leidinger L. Maanen Willem H. Zuidema K. Schulz 84 7 0 24 Nov 2022
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture Youssef Mohamed Mohamed AbdelFattah Shyma Alhuwaider Feifan Li Xiangliang Zhang Kenneth Church Mohamed Elhoseiny VLM 97 15 0 19 Nov 2022
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models Yizhi Li Ge Zhang Bohao Yang Chenghua Lin Shi Wang Anton Ragni Jie Fu 54 10 0 05 Nov 2022
Theories of "Gender" in NLP Bias Research Hannah Devinney Jenny Björklund H. Björklund AI4CE 106 76 0 05 May 2022