Jieyu Zhao

Examining Gender Bias in Languages with Grammatical Gender

2019 · arXiv (Cornell University)

Recent studies have shown that word embeddings exhibit gender bias inherited from the training corpora. However, most studies to date have focused on quantifying and mitigating such bias only in English. These analyses cannot be …

What do Bias Measures Measure

2021 · arXiv (Cornell University)

Natural Language Processing (NLP) models propagate social biases about protected attributes such as gender, race, and nationality. To create interventions and mitigate these biases and associated harms, it is vital to be able to detect …

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models

2022 · arXiv (Cornell University)

A common limitation of diagnostic tests for detecting social biases in NLP models is that they may only detect stereotypic associations that are pre-specified by the designer of the test. Since enumerating all possible problematic …

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

2018 · arXiv (Cornell University)

We introduce a new benchmark, WinoBias, for coreference resolution focused on gender bias. Our corpus contains Winograd-schema style sentences with entities corresponding to people referred by their occupation (e.g. the nurse, the doctor, the carpenter). …

Learning Gender-Neutral Word Embeddings

2018

Word embedding models have become a fundamental component in a wide range of Natural Language Processing (NLP) applications. However, embeddings trained on human-generated corpora have been demonstrated to inherit strong gender stereotypes that reflect social …

Gender Bias in Contextualized Word Embeddings

2019

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and …

Mitigating Gender Bias in Natural Language Processing: Literature Review

2019

Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.

Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer

2020

Multilingual representations embed words from many languages into a single semantic space such that words with similar meanings are close to each other regardless of the language. These embeddings have been widely used in various …