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. 1911.03891
  4. Cited By
Social Bias Frames: Reasoning about Social and Power Implications of
  Language

Social Bias Frames: Reasoning about Social and Power Implications of Language

10 November 2019
Maarten Sap
Saadia Gabriel
Lianhui Qin
Dan Jurafsky
Noah A. Smith
Yejin Choi
ArXivPDFHTML

Papers citing "Social Bias Frames: Reasoning about Social and Power Implications of Language"

21 / 71 papers shown
Title
Hidden behind the obvious: misleading keywords and implicitly abusive
  language on social media
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media
Wenjie Yin
A. Zubiaga
19
26
0
03 May 2022
A Corpus for Understanding and Generating Moral Stories
A Corpus for Understanding and Generating Moral Stories
Jian-Yu Guan
Ziqi Liu
Minlie Huang
24
9
0
20 Apr 2022
UMass PCL at SemEval-2022 Task 4: Pre-trained Language Model Ensembles
  for Detecting Patronizing and Condescending Language
UMass PCL at SemEval-2022 Task 4: Pre-trained Language Model Ensembles for Detecting Patronizing and Condescending Language
David Koleczek
Alexander Scarlatos
Siddha Makarand Karkare
Preshma Linet Pereira
19
0
0
18 Apr 2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in
  Values
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arnav Arora
Lucie-Aimée Kaffee
Isabelle Augenstein
VLM
23
123
0
25 Mar 2022
Listening to Affected Communities to Define Extreme Speech: Dataset and
  Experiments
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments
Antonis Maronikolakis
Axel Wisiorek
Leah Nann
Haris Jabbar
Sahana Udupa
Hinrich Schütze
22
24
0
22 Mar 2022
Few-shot Instruction Prompts for Pretrained Language Models to Detect
  Social Biases
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases
Shrimai Prabhumoye
Rafal Kocielnik
M. Shoeybi
Anima Anandkumar
Bryan Catanzaro
27
19
0
15 Dec 2021
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning
Teyun Kwon
Anandha Gopalan
17
2
0
01 Dec 2021
Annotators with Attitudes: How Annotator Beliefs And Identities Bias
  Toxic Language Detection
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Maarten Sap
Swabha Swayamdipta
Laura Vianna
Xuhui Zhou
Yejin Choi
Noah A. Smith
29
266
0
15 Nov 2021
A Word on Machine Ethics: A Response to Jiang et al. (2021)
A Word on Machine Ethics: A Response to Jiang et al. (2021)
Zeerak Talat
Hagen Blix
Josef Valvoda
M. I. Ganesh
Ryan Cotterell
Adina Williams
SyDa
FaML
88
39
0
07 Nov 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget
Clean or Annotate: How to Spend a Limited Data Collection Budget
Derek Chen
Zhou Yu
Samuel R. Bowman
27
13
0
15 Oct 2021
BBQ: A Hand-Built Bias Benchmark for Question Answering
BBQ: A Hand-Built Bias Benchmark for Question Answering
Alicia Parrish
Angelica Chen
Nikita Nangia
Vishakh Padmakumar
Jason Phang
Jana Thompson
Phu Mon Htut
Sam Bowman
212
367
0
15 Oct 2021
Detecting Community Sensitive Norm Violations in Online Conversations
Detecting Community Sensitive Norm Violations in Online Conversations
Chan Young Park
Julia Mendelsohn
Karthik Radhakrishnan
Kinjal Jain
Tushar Kanakagiri
David Jurgens
Yulia Tsvetkov
22
21
0
09 Oct 2021
Just Say No: Analyzing the Stance of Neural Dialogue Generation in
  Offensive Contexts
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
Ashutosh Baheti
Maarten Sap
Alan Ritter
Mark O. Riedl
16
84
0
26 Aug 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
16
31
0
22 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
23
122
0
21 Jun 2021
Understanding and Countering Stereotypes: A Computational Approach to
  the Stereotype Content Model
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
Kathleen C. Fraser
I. Nejadgholi
S. Kiritchenko
16
37
0
04 Jun 2021
Detoxifying Language Models Risks Marginalizing Minority Voices
Detoxifying Language Models Risks Marginalizing Minority Voices
Albert Xu
Eshaan Pathak
Eric Wallace
Suchin Gururangan
Maarten Sap
Dan Klein
8
121
0
13 Apr 2021
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
29
259
0
31 Dec 2020
PowerTransformer: Unsupervised Controllable Revision for Biased Language
  Correction
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
Xinyao Ma
Maarten Sap
Hannah Rashkin
Yejin Choi
27
73
0
26 Oct 2020
A Computational Approach to Understanding Empathy Expressed in
  Text-Based Mental Health Support
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Ashish Sharma
Adam S. Miner
David C. Atkins
Tim Althoff
AI4MH
25
268
0
17 Sep 2020
OpenFraming: We brought the ML; you bring the data. Interact with your
  data and discover its frames
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames
Alyssa Smith
D. Tofu
Mona Jalal
Edward Edberg Halim
Yimeng Sun
V. Akavoor
Margrit Betke
Prakash Ishwar
Lei Guo
Derry Wijaya
6
1
0
16 Aug 2020
Previous
12