SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration

SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration Hwaran Lee author Seokhee Hong author Joonsuk Park author Takyoung Kim author Meeyoung Cha author Yejin Choi author Byoungpil Kim author Gunhee Kim author Eun-Ju Lee author Yong Lim author Alice Oh author Sangchul Park author Jung-Woo Ha author 2023-07 text Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Anna Rogers editor Jordan Boyd-Graber editor Naoaki Okazaki editor Association for Computational Linguistics Toronto, Canada conference publication lee-etal-2023-square 10.18653/v1/2023.acl-long.370 https://aclanthology.org/2023.acl-long.370/ 2023-07 6692 6712