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.
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.
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
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.
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection
Apoorva Singh, Raghav Jain, Prince Jha et al.
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection
Krishanu Maity, Raghav Jain, Prince Jha et al.
Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation
Wonwoo Cho, Jeonghoon Park, Jaegul Choo
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
Christopher Clarke, Matthew Hall, Gaurav Mittal et al.
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection
Sourabh Zanwar, Xiaofei Li, Daniel Wiechmann et al.
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning
Yongjin Yang, Joonkee Kim, Yujin Kim et al.
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy et al.
ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)
Rakib Hossain Rifat, Abanti Shruti, Marufa Kamal 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