Papers
441 papers found
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
iREL at SemEval-2023 Task 10: Multi-level Training for Explainable Detection of Online Sexism
Nirmal Manoj, Sagar Joshi, Ankita Maity et al.
DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability
Kanishk Verma, Kolawole Adebayo, Joachim Wagner 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.
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Hannah Kirk, Wenjie Yin, Bertie Vidgen et al.
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs
Vy Nguyen, Xiuzhen Zhang
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish
Ankit Vaidya, Aditya Gokhale, Arnav Desai et al.