Papers
24 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
Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism
Kangshuai Guo, Ruipeng Ma, Shichao Luo et al.
JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
Doaa Obeidat, Wala’a Shnaigat, Heba Nammas et al.
Appeal for Attention at SemEval-2023 Task 3: Data augmentation extension strategies for detection of online news persuasion techniques
Sergiu Amihaesei, Laura Cornei, George Stoica
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.
AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa
Amit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya et al.
JCT_DM at SemEval-2023 Task 10: Detection of Online Sexism: from Classical Models to Transformers
Efrat Luzzon, Chaya Liebeskind
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.
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.
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
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.
Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
Debashish Roy, Manish Shrivastava
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.
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore
Janosch Haber, Bertie Vidgen, Matthew Chapman et al.
Real-Time Detection of Robotic Traffic in Online Advertising
Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal et al.
KingsmanTrio at SemEval-2023 Task 10: Analyzing the Effectiveness of Transfer Learning Models for Explainable Online Sexism Detection
Fareen Tasneem, Tashin Hossain, Jannatun Naim