Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It

11 October 2020

Papers citing "Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It"

10 / 10 papers shown

Title
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models Hidir Yesiltepe Kiymet Akdemir Pinar Yanardag 29 3 0 28 Mar 2024
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine Translation Pushpdeep Singh 20 0 0 11 Nov 2023
Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation Danielle Saunders Katrina Olsen 37 5 0 07 Jun 2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation Minwoo Lee Hyukhun Koh Kang-il Lee Dongdong Zhang Minsu Kim Kyomin Jung 35 9 0 23 May 2023
Choose Your Lenses: Flaws in Gender Bias Evaluation Hadas Orgad Yonatan Belinkov 27 35 0 20 Oct 2022
The User-Aware Arabic Gender Rewriter Bashar Alhafni Ossama Obeid Nizar Habash 29 2 0 14 Oct 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 30 110 0 28 Dec 2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation Shahar Levy Koren Lazar Gabriel Stanovsky 31 64 0 08 Sep 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 25 85 0 14 Apr 2021
A Neural Entity Coreference Resolution Review Nikolaos Stylianou I. Vlahavas 24 38 0 21 Oct 2019