Papers
116 papers found
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.
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.
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
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.
iREL at SemEval-2023 Task 10: Multi-level Training for Explainable Detection of Online Sexism
Nirmal Manoj, Sagar Joshi, Ankita Maity et al.
Stanford MLab at SemEval-2023 Task 10: Exploring GloVe- and Transformer-Based Methods for the Explainable Detection of Online Sexism
Aaron Wan, Hong Meng Yam, Swetha Yogeswaran 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.
FiRC at SemEval-2023 Task 10: Fine-grained Classification of Online Sexism Content Using DeBERTa
Fadi Hassan, Abdessalam Bouchekif, Walid Aransa
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
Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
Debashish Roy, Manish Shrivastava
HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism Classification
Saminu Mohammad Aliyu, Idris Abdulmumin, Shamsuddeen Hassan Muhammad et al.
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.
UIRISC at SemEval-2023 Task 10: Explainable Detection of Online Sexism by Ensembling Fine-tuning Language Models
Tianyun Zhong, Runhui Song, Xunyuan Liu et al.
CSECU-DSG at SemEval-2023 Task 10: Exploiting Transformers with Stacked LSTM for the Explainable Detection of Online Sexism
Afrin Sultana, Radiathun Tasnia, Nabila Ayman et al.