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Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
v1v2v3 (latest)

Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts

16 October 2023
Christina Chance
Da Yin
Dakuo Wang
Kai-Wei Chang
ArXiv (abs)PDFHTML

Papers citing "Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts"

14 / 14 papers shown
Title
Stop! In the Name of Flaws: Disentangling Personal Names and
  Sociodemographic Attributes in NLP
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
Vagrant Gautam
Arjun Subramonian
Anne Lauscher
O. Keyes
60
7
0
27 May 2024
Debiasing Word Embeddings with Nonlinear Geometry
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng
Nayoung Kim
Huan Liu
54
5
0
29 Aug 2022
Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic
  Dataset for Narrative Comprehension
Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension
Ying Xu
Dakuo Wang
Mo Yu
Daniel E. Ritchie
Bingsheng Yao
...
Xiaojuan Ma
Diyi Yang
Nanyun Peng
Zhou Yu
M. Warschauer
AI4Ed
68
105
0
26 Mar 2022
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Jian Guan
Zhexin Zhang
Zhuoer Feng
Zitao Liu
Wenbiao Ding
Xiaoxi Mao
Changjie Fan
Minlie Huang
72
61
0
19 May 2021
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial
  Learning
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
Haochen Liu
Wentao Wang
Yiqi Wang
Hui Liu
Zitao Liu
Jiliang Tang
62
71
0
28 Sep 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
264
10,861
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
485
20,342
0
23 Oct 2019
It's All in the Name: Mitigating Gender Bias with Name-Based
  Counterfactual Data Substitution
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
Rowan Hall Maudslay
Hila Gonen
Ryan Cotterell
Simone Teufel
62
172
0
02 Sep 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
357
5,868
0
21 Apr 2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Christine Basta
Marta R. Costa-jussá
Noe Casas
64
194
0
18 Apr 2019
Gender Bias in Contextualized Word Embeddings
Gender Bias in Contextualized Word Embeddings
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Ryan Cotterell
Vicente Ordonez
Kai-Wei Chang
FaML
123
421
0
05 Apr 2019
Gender Bias in Neural Natural Language Processing
Gender Bias in Neural Natural Language Processing
Kaiji Lu
Piotr (Peter) Mardziel
Fangjing Wu
Preetam Amancharla
Anupam Datta
117
357
0
31 Jul 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
130
944
0
18 Apr 2018
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBMFaML
112
3,156
0
21 Jul 2016
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