Papers
441 papers found
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.
Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency Training
Yehui Xu, Haiyan Ding
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.
SINAI at SemEval-2023 Task 10: Leveraging Emotions, Sentiments, and Irony Knowledge for Explainable Detection of Online Sexism
M. Estrella Vallecillo Rodríguez, Flor Miriam Plaza-del-Arco, L. Alfonso Ureña-López et al.
shefnlp at SemEval-2023 Task 10: Compute-Efficient Category Adapters
Thomas Pickard, Tyler Loakman, Mugdha Pandya
Brainstormers_msec at SemEval-2023 Task 10: Detection of sexism related comments in social media using deep learning
C. Jerin Mahibha, C. M Swaathi, R. Jeevitha et al.
UniBoe’s at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist Posts
Arianna Muti, Francesco Fernicola, Alberto Barrón-Cedeño
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification
Jeffrey Sorensen, Katerina Korre, John Pavlopoulos et al.
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers
Sriya Rallabandi, Sanchit Singhal, Pratinav Seth
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
Weston Feely, Prabhakar Gupta, Manas Ranjan Mohanty et al.
PoSh at SemEval-2023 Task 10: Explainable Detection of Online Sexism
Shruti Sriram, Padma Pooja Chandran, Shrijith M R
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning
Adam Rydelek, Daryna Dementieva, Georg Groh
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
Sana Al-Azzawi, György Kovács, Filip Nilsson 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
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.
Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text
Mutaz Younes, Ali Kharabsheh, Mohammad Bani Younes