Papers
116 papers found
hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A)
Wiebke Petersen, Diem-Ly Tran, Marion Wroblewitz
Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
Myrthe Reuver, Indira Sen, Matteo Melis et al.
hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A)
Wiebke Petersen, Diem-Ly Tran, Marion Wroblewitz
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
Xuan Luo, Li Yang, Han Zhang et al.
Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models
Jad Doughman, Shady Shehata, Leen Al Qadi et al.
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection
Rabiraj Bandyopadhyay, Dennis Assenmacher, Jose Maria Alonso-Moral et al.
“Hold on honey, men at work”: A semi-supervised approach to detecting sexism in sitcoms
Smriti Singh, Tanvi Anand, Arijit Ghosh Chowdhury et al.
Lexicools at SemEval-2023 Task 10: Sexism Lexicon Construction via XAI
Pakawat Nakwijit, Mahmoud Samir, Matthew Purver
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy et al.
Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism
Kangshuai Guo, Ruipeng Ma, Shichao Luo et al.
JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
Doaa Obeidat, Wala’a Shnaigat, Heba Nammas et al.
UMUTeam at SemEval-2023 Task 10: Fine-grained detection of sexism in English
Ronghao Pan, José Antonio García-Díaz, Salud María Jiménez Zafra et al.
UL & UM6P at SemEval-2023 Task 10: Semi-Supervised Multi-task Learning for Explainable Detection of Online Sexism
Salima Lamsiyah, Abdelkader El Mahdaouy, Hamza Alami et al.
AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa
Amit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya et al.
ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)
Rakib Hossain Rifat, Abanti Shruti, Marufa Kamal et al.
JCT_DM at SemEval-2023 Task 10: Detection of Online Sexism: from Classical Models to Transformers
Efrat Luzzon, Chaya Liebeskind
I2C-Huelva at SemEval-2023 Task 10: Ensembling Transformers Models for the Detection of Online Sexism
Lavinia Felicia Fudulu, Alberto Rodriguez Tenorio, Victoria Pachón Álvarez et al.
CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE!
Advaitha Vetagiri, Prottay Adhikary, Partha Pakray et al.
DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in English
Bingjie Yu, Zewen Bai, Haoran Ji et al.
HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy
Ziyi Yao, Heyan Chai, Jinhao Cui et al.