ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.04222
  4. Cited By
SemEval-2023 Task 10: Explainable Detection of Online Sexism
v1v2 (latest)

SemEval-2023 Task 10: Explainable Detection of Online Sexism

International Workshop on Semantic Evaluation (SemEval), 2023
7 March 2023
Hannah Rose Kirk
Wenjie Yin
Bertie Vidgen
Paul Röttger
ArXiv (abs)PDFHTML

Papers citing "SemEval-2023 Task 10: Explainable Detection of Online Sexism"

35 / 35 papers shown
Title
Dataset Creation and Baseline Models for Sexism Detection in Hausa
Dataset Creation and Baseline Models for Sexism Detection in Hausa
Fatima Adam Muhammad
Shamsuddeen Muhammad Hassan
Isa Inuwa-Dutse
68
0
0
30 Oct 2025
Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
Dennis Assenmacher
Paloma Piot
Katarina Laken
David Jurgens
Claudia Wagner
92
0
0
21 Oct 2025
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech
Tanvi Dinkar
Aiqi Jiang
Simona Frenda
Poppy Gerrard-Abbott
Nancie Gunson
Gavin Abercrombie
Ioannis Konstas
74
0
0
06 Aug 2025
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
Roberto Labadie-Tamayo
D. Slijepcevic
Xihui Chen
Adrian Jaques Böck
Andreas Babic
Liz Freimann
Christiane Atzmüller Matthias Zeppelzauer
88
0
0
30 Jul 2025
Web(er) of Hate: A Survey on How Hate Speech Is Typed
Web(er) of Hate: A Survey on How Hate Speech Is Typed
Luna Wang
Andrew Caines
Alice Hutchings
90
0
0
19 Jun 2025
Refract ICL: Rethinking Example Selection in the Era of Million-Token Models
Refract ICL: Rethinking Example Selection in the Era of Million-Token Models
Arjun R. Akula
Kazuma Hashimoto
Krishna Srinivasan
Aditi Chaudhary
K. Raman
Michael Bendersky
184
0
0
14 Jun 2025
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Sahrish Khan
Arshad Jhumka
Gabriele Pergola
141
4
0
06 Jun 2025
Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia
Tackling Social Bias against the Poor: A Dataset and Taxonomy on AporophobiaNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Georgina Curto
S. Kiritchenko
Muhammad Hammad Fahim Siddiqui
I. Nejadgholi
Kathleen C. Fraser
73
1
0
17 Apr 2025
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
Xingwei Tan
Chen Lyu
Hafiz Muhammad Umer
Sahrish Khan
Mahathi Parvatham
Lois Arthurs
Simon Cullen
Shelley Wilson
Arshad Jhumka
Gabriele Pergola
147
3
0
09 Mar 2025
Exploring the Influence of Label Aggregation on Minority Voices:
  Implications for Dataset Bias and Model Training
Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training
Mugdha Pandya
Nafise Sadat Moosavi
Diana Maynard
275
1
0
05 Dec 2024
SPRIG: Improving Large Language Model Performance by System Prompt
  Optimization
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Lechen Zhang
Tolga Ergen
Lajanugen Logeswaran
Moontae Lee
David Jurgens
LRM
308
29
0
18 Oct 2024
Re-examining Sexism and Misogyny Classification with Annotator Attitudes
Re-examining Sexism and Misogyny Classification with Annotator AttitudesConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Aiqi Jiang
Nikolas Vitsakis
Tanvi Dinkar
Gavin Abercrombie
Ioannis Konstas
314
11
0
04 Oct 2024
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in
  Subjective Tasks?
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
Urja Khurana
Eric T. Nalisnick
Antske Fokkens
Swabha Swayamdipta
359
7
0
26 Aug 2024
A multitask learning framework for leveraging subjectivity of annotators
  to identify misogyny
A multitask learning framework for leveraging subjectivity of annotators to identify misogyny
Jason Angel
S. Aroyehun
Grigori Sidorov
Alexander Gelbukh
94
0
0
22 Jun 2024
QueerBench: Quantifying Discrimination in Language Models Toward Queer
  Identities
QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities
Mae Sosto
Alberto Barrón-Cedeño
167
5
0
18 Jun 2024
COT: A Generative Approach for Hate Speech Counter-Narratives via
  Contrastive Optimal Transport
COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport
Linhao Zhang
Li Jin
Guangluan Xu
Xiaoyu Li
Xian Sun
173
3
0
18 Jun 2024
Sexism Detection on a Data Diet
Sexism Detection on a Data DietWeb Science Conference (WebSci), 2024
Rabiraj Bandyopadhyay
Dennis Assenmacher
J. Alonso-Moral
Claudia Wagner
150
2
0
07 Jun 2024
Explainability and Hate Speech: Structured Explanations Make Social
  Media Moderators Faster
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster
Agostina Calabrese
Leonardo Neves
Neil Shah
Maarten W. Bos
Björn Ross
Mirella Lapata
Francesco Barbieri
FAtt
159
8
0
06 Jun 2024
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
Manuel Tonneau
Diyi Liu
Samuel Fraiberger
Ralph Schroeder
Scott A. Hale
Paul Röttger
300
16
0
27 Apr 2024
Exploratory Data Analysis on Code-mixed Misogynistic Comments
Exploratory Data Analysis on Code-mixed Misogynistic Comments
Sargam Yadav
Abhishek Kaushik
Kevin McDaid
52
0
0
09 Mar 2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An
  Analysis on Reranking for Few-Shot In-Context Learning
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto
K. Raman
Michael Bendersky
308
2
0
16 Nov 2023
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
Brooklyn Sheppard
Anna Richter
Allison Cohen
Elizabeth Allyn Smith
Tamara Kneese
Carolyne Pelletier
Ioana Baldini
Yue Dong
163
5
0
15 Nov 2023
Ambiguity-Aware In-Context Learning with Large Language Models
Ambiguity-Aware In-Context Learning with Large Language Models
Lingyu Gao
Aditi Chaudhary
Krishna Srinivasan
Kazuma Hashimoto
K. Raman
Michael Bendersky
194
10
0
14 Sep 2023
On the Challenges of Building Datasets for Hate Speech Detection
On the Challenges of Building Datasets for Hate Speech Detection
Vitthal Bhandari
195
1
0
06 Sep 2023
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for
  Detecting Abuse Targeted at Public Figures
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public FiguresWorkshop on Trolling, Aggression and Cyberbullying (TRAC), 2023
Angus R. Williams
Hannah Rose Kirk
L. Burke
Yi-Ling Chung
Ivan Debono
Pica Johansson
Francesca Stevens
Jonathan Bright
Scott A. Hale
163
1
0
31 Jul 2023
AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language
  Models Under The Learning with Disagreements Regime
AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements RegimeConference and Labs of the Evaluation Forum (CLEF), 2023
Angel Felipe Magnossão de Paula
Giuliano Rizzi
Elisabetta Fersini
Damiano Spina
141
12
0
07 Jul 2023
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for
  Sexism Detection and Classification
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and ClassificationInternational Workshop on Semantic Evaluation (SemEval), 2023
K. Chernyshev
E. Garanina
Duygu Bayram
Qiankun Zheng
Lukas Edman
68
0
0
08 Jun 2023
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental
  Fine-Tuning and Multi-Task Learning with Label Descriptions
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label DescriptionsInternational Workshop on Semantic Evaluation (SemEval), 2023
Janis Goldzycher
179
1
0
06 Jun 2023
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in
  Sexism Detection with Ensemble Learning
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble LearningInternational Workshop on Semantic Evaluation (SemEval), 2023
Adam Rydelek
Daryna Dementieva
Georg Groh
97
3
0
15 May 2023
IUST_NLP at SemEval-2023 Task 10: Explainable Detecting Sexism with
  Transformers and Task-adaptive Pretraining
IUST_NLP at SemEval-2023 Task 10: Explainable Detecting Sexism with Transformers and Task-adaptive PretrainingInternational Workshop on Semantic Evaluation (SemEval), 2023
Hadi Mahmoudi
79
0
0
11 May 2023
HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and
  Side-Information for Multi-Level Sexism Classification
HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism ClassificationInternational Workshop on Semantic Evaluation (SemEval), 2023
Saminu Mohammad Aliyu
Idris Abdulmumin
Shamsuddeen Hassan Muhammad
Ibrahim Said Ahmad
Saheed Abdullahi Salahudeen
Aliyu Yusuf
Falalu Ibrahim Lawan
104
2
0
28 Apr 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and
  Semi-Supervised Learning Techniques on Text Classification Performance on an
  Imbalanced Dataset
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced DatasetInternational Workshop on Semantic Evaluation (SemEval), 2023
Sana Al-Azzawi
Gyorgy Kovács
Filip Nilsson
Tosin Adewumi
Marcus Liwicki
82
9
0
25 Apr 2023
Attention at SemEval-2023 Task 10: Explainable Detection of Online
  Sexism (EDOS)
Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)International Workshop on Semantic Evaluation (SemEval), 2023
Debashish Roy
Manish Shrivastava
61
1
0
10 Apr 2023
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism
  using Majority Voted Fine-Tuned Transformers
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned TransformersInternational Workshop on Semantic Evaluation (SemEval), 2023
Sriya Rallabandi
Sanchit Singhal
Pratinav Seth
85
3
0
07 Apr 2023
HULAT at SemEval-2023 Task 10: Data augmentation for pre-trained transformers applied to the detection of sexism in social mediaInternational Workshop on Semantic Evaluation (SemEval), 2023
Isabel Segura-Bedmar
ViT
79
2
0
24 Feb 2023
1