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Sense Embeddings are also Biased--Evaluating Social Biases in Static and
  Contextualised Sense Embeddings

Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings

14 March 2022
Yi Zhou
Masahiro Kaneko
Danushka Bollegala
ArXivPDFHTML

Papers citing "Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings"

21 / 21 papers shown
Title
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social
  Media Data and Masked Language Models
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
Yi Zhou
Danushka Bollegala
Jose Camacho-Collados
37
1
0
19 Jun 2024
Eagle: Ethical Dataset Given from Real Interactions
Eagle: Ethical Dataset Given from Real Interactions
Masahiro Kaneko
Danushka Bollegala
Timothy Baldwin
40
3
0
22 Feb 2024
Evaluating Gender Bias in Large Language Models via Chain-of-Thought
  Prompting
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
Timothy Baldwin
LRM
29
27
0
28 Jan 2024
The Gaps between Pre-train and Downstream Settings in Bias Evaluation
  and Debiasing
The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing
Masahiro Kaneko
Danushka Bollegala
Timothy Baldwin
30
3
0
16 Jan 2024
Can Word Sense Distribution Detect Semantic Changes of Words?
Can Word Sense Distribution Detect Semantic Changes of Words?
Xiaohang Tang
Yi Zhou
Taichi Aida
Procheta Sen
Danushka Bollegala
29
6
0
16 Oct 2023
Mitigating Bias for Question Answering Models by Tracking Bias Influence
Mitigating Bias for Question Answering Models by Tracking Bias Influence
Mingyu Derek Ma
Jiun-Yu Kao
Arpit Gupta
Yu-Hsiang Lin
Wenbo Zhao
Tagyoung Chung
Wei Wang
Kai-Wei Chang
Nanyun Peng
24
4
0
13 Oct 2023
The Impact of Debiasing on the Performance of Language Models in
  Downstream Tasks is Underestimated
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
31
5
0
16 Sep 2023
Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained
  Static Sense Embeddings
Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings
Haochen Luo
Yi Zhou
Danushka Bollegala
SSL
28
1
0
30 May 2023
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text
  Data Generation with Large Language Models
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
Mingyu Derek Ma
Xiaoxu Wang
Po-Nien Kung
P. Brantingham
Nanyun Peng
Wei Wang
SyDa
25
4
0
24 May 2023
An Efficient Multilingual Language Model Compression through Vocabulary
  Trimming
An Efficient Multilingual Language Model Compression through Vocabulary Trimming
Asahi Ushio
Yi Zhou
Jose Camacho-Collados
41
7
0
24 May 2023
This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language
  Models
This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models
Seraphina Goldfarb-Tarrant
Eddie L. Ungless
Esma Balkir
Su Lin Blodgett
29
9
0
22 May 2023
Solving NLP Problems through Human-System Collaboration: A
  Discussion-based Approach
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
Masahiro Kaneko
Graham Neubig
Naoaki Okazaki
29
6
0
19 May 2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human
  Annotated Examples
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
24
9
0
28 Jan 2023
On the Curious Case of $\ell_2$ norm of Sense Embeddings
On the Curious Case of ℓ2\ell_2ℓ2​ norm of Sense Embeddings
Yi Zhou
Danushka Bollegala
8
0
0
26 Oct 2022
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and
  their Social Biases in Downstream Tasks
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
18
41
0
06 Oct 2022
Gender Bias in Meta-Embeddings
Gender Bias in Meta-Embeddings
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
32
6
0
19 May 2022
Gender Bias in Masked Language Models for Multiple Languages
Gender Bias in Masked Language Models for Multiple Languages
Masahiro Kaneko
Aizhan Imankulova
Danushka Bollegala
Naoaki Okazaki
20
61
0
01 May 2022
Learning Sense-Specific Static Embeddings using Contextualised Word
  Embeddings as a Proxy
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy
Yi Zhou
Danushka Bollegala
31
9
0
05 Oct 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
259
374
0
28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
138
0
23 Jan 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang
Xi Victoria Lin
Nazneen Rajani
Bryan McCann
Vicente Ordonez
Caimng Xiong
CVBM
146
54
0
03 May 2020
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