no code implementations • 15 Nov 2023 • Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
Using novel approaches to dataset development, the Biasly dataset captures the nuance and subtlety of misogyny in ways that are unique within the literature.
no code implementations • WS 2019 • Yasmeen Hitti, Eunbee Jang, Ines Moreno, Carolyne Pelletier
The purpose of this paper is to present an empirical study on gender bias in text.