Papers
12,993 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
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.
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
Xuan Luo, Li Yang, Han Zhang 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.
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy et al.
ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)
Rakib Hossain Rifat, Abanti Shruti, Marufa Kamal 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.
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning
Adam Rydelek, Daryna Dementieva, Georg Groh
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
Konstantin Chernyshev, Ekaterina Garanina, Duygu Bayram et al.
SKAM at SemEval-2023 Task 10: Linguistic Feature Integration and Continuous Pretraining for Online Sexism Detection and Classification
Murali Manohar Kondragunta, Amber Chen, Karlo Slot et al.
DH-FBK at SemEval-2023 Task 10: Multi-Task Learning with Classifier Ensemble Agreement for Sexism Detection
Elisa Leonardelli, Camilla Casula
KingsmanTrio at SemEval-2023 Task 10: Analyzing the Effectiveness of Transfer Learning Models for Explainable Online Sexism Detection
Fareen Tasneem, Tashin Hossain, Jannatun Naim
MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection
Amanda Cercas Curry, Giuseppe Attanasio, Debora Nozza et al.
Analysis of Annotator Demographics in Sexism Detection
Narjes Tahaei, Sabine Bergler
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
Sahrish Khan, Arshad Jhumka, Gabriele Pergola
Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection
Ali Riahi Samani, Tianhao Wang, Kangshuo Li 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.
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy et al.