Papers

441 papers found
JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
Doaa Obeidat, Wala’a Shnaigat, Heba Nammas et al.
2023 SEMEVAL
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.
2023 SEMEVAL
NLP_CHRISTINE at SemEval-2023 Task 10: Utilizing Transformer Contextual Representations and Ensemble Learning for Sexism Detection on Social Media Texts
Christina Christodoulou
2023 SEMEVAL
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.
2023 SEMEVAL
AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa
Amit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya et al.
2023 SEMEVAL
ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)
Rakib Hossain Rifat, Abanti Shruti, Marufa Kamal et al.
2023 SEMEVAL
JCT_DM at SemEval-2023 Task 10: Detection of Online Sexism: from Classical Models to Transformers
Efrat Luzzon, Chaya Liebeskind
2023 SEMEVAL
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.
2023 SEMEVAL
Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency Training
Yehui Xu, Haiyan Ding
2023 SEMEVAL
CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE!
Advaitha Vetagiri, Prottay Adhikary, Partha Pakray et al.
2023 SEMEVAL
DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in English
Bingjie Yu, Zewen Bai, Haoran Ji et al.
2023 SEMEVAL
HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy
Ziyi Yao, Heyan Chai, Jinhao Cui et al.
2023 SEMEVAL
HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model
Yao Zhang, Liqing Wang
2023 SEMEVAL
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.
2023 SEMEVAL
MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism?
Ehsan Tavan, Maryam Najafi
2023 SEMEVAL
shefnlp at SemEval-2023 Task 10: Compute-Efficient Category Adapters
Thomas Pickard, Tyler Loakman, Mugdha Pandya
2023 SEMEVAL
DS at SemEval-2023 Task 10: Explaining Online Sexism using Transformer based Approach
Madisetty Padmavathi
2023 SEMEVAL
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.
2023 SEMEVAL
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
2023 SEMEVAL
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification
Jeffrey Sorensen, Katerina Korre, John Pavlopoulos et al.
2023 SEMEVAL
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers
Sriya Rallabandi, Sanchit Singhal, Pratinav Seth
2023 SEMEVAL
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.
2023 SEMEVAL
PoSh at SemEval-2023 Task 10: Explainable Detection of Online Sexism
Shruti Sriram, Padma Pooja Chandran, Shrijith M R
2023 SEMEVAL
JudithJeyafreeda at SemEval-2023 Task 10: Machine Learning for Explainable Detection of Online Sexism
Judith Jeyafreeda Andrew
2023 SEMEVAL
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning
Adam Rydelek, Daryna Dementieva, Georg Groh
2023 SEMEVAL