ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.02596
  4. Cited By
Understanding and Countering Stereotypes: A Computational Approach to
  the Stereotype Content Model

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model

4 June 2021
Kathleen C. Fraser
I. Nejadgholi
S. Kiritchenko
ArXivPDFHTML

Papers citing "Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model"

19 / 19 papers shown
Title
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings
Carolin M. Schuster
Maria-Alexandra Dinisor
Shashwat Ghatiwala
Georg Groh
119
1
0
25 Nov 2024
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender
  Bias
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias
Marion Bartl
Malvina Nissim
Albert Gatt
69
125
0
27 Oct 2020
Six Attributes of Unhealthy Conversation
Six Attributes of Unhealthy Conversation
Ilan Price
Jordan Gifford-Moore
Jory Flemming
Saul Musker
Maayan Roichman
Guillaume Sylvain
Nithum Thain
Lucas Dixon
Jeffrey Scott Sorensen
34
33
0
14 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked
  Language Models
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Nikita Nangia
Clara Vania
Rasika Bhalerao
Samuel R. Bowman
111
679
0
30 Sep 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna M. Wallach
155
1,236
0
28 May 2020
StereoSet: Measuring stereotypical bias in pretrained language models
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem
Anna Bethke
Siva Reddy
99
997
0
20 Apr 2020
Generating Counter Narratives against Online Hate Speech: Data and
  Strategies
Generating Counter Narratives against Online Hate Speech: Data and Strategies
Serra Sinem Tekiroğlu
Yi-Ling Chung
Marco Guerini
50
110
0
08 Apr 2020
The POLAR Framework: Polar Opposites Enable Interpretability of
  Pre-Trained Word Embeddings
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
Binny Mathew
Sandipan Sikdar
Florian Lemmerich
M. Strohmaier
29
36
0
27 Jan 2020
Social Bias Frames: Reasoning about Social and Power Implications of
  Language
Social Bias Frames: Reasoning about Social and Power Implications of Language
Maarten Sap
Saadia Gabriel
Lianhui Qin
Dan Jurafsky
Noah A. Smith
Yejin Choi
139
496
0
10 Nov 2019
CONAN -- COunter NArratives through Nichesourcing: a Multilingual
  Dataset of Responses to Fight Online Hate Speech
CONAN -- COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
Yi-Ling Chung
E. Kuzmenko
Serra Sinem Tekiroğlu
Marco Guerini
54
211
0
08 Oct 2019
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian
Anna Bethke
Yinyin Liu
E. Belding-Royer
William Yang Wang
40
220
0
10 Sep 2019
How Contextual are Contextualized Word Representations? Comparing the
  Geometry of BERT, ELMo, and GPT-2 Embeddings
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
Kawin Ethayarajh
83
870
0
02 Sep 2019
Measuring Bias in Contextualized Word Representations
Measuring Bias in Contextualized Word Representations
Keita Kurita
Nidhi Vyas
Ayush Pareek
A. Black
Yulia Tsvetkov
98
449
0
18 Jun 2019
Black is to Criminal as Caucasian is to Police: Detecting and Removing
  Multiclass Bias in Word Embeddings
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini
Y. Lim
Yulia Tsvetkov
A. Black
FaML
83
307
0
03 Apr 2019
On Measuring Social Biases in Sentence Encoders
On Measuring Social Biases in Sentence Encoders
Chandler May
Alex Jinpeng Wang
Shikha Bordia
Samuel R. Bowman
Rachel Rudinger
96
599
0
25 Mar 2019
Advances in Pre-Training Distributed Word Representations
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
Edouard Grave
Piotr Bojanowski
Christian Puhrsch
Armand Joulin
AI4TS
VLM
141
1,243
0
26 Dec 2017
Semantics derived automatically from language corpora contain human-like
  biases
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan
J. Bryson
Arvind Narayanan
213
2,663
0
25 Aug 2016
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
CVBM
FaML
105
3,133
0
21 Jul 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
660
31,490
0
16 Jan 2013
1