Papers
374 papers found
SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection
Michał Satława, Katarzyna Zamłyńska, Jarosław Piersa et al.
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection
Flor Miriam Plaza-del-Arco, Pilar López-Úbeda, L. Alfonso Ureña-López et al.
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection
Tashin Hossain, Jannatun Naim, Fareen Tasneem et al.
SemEval-2021 Task 5: Toxic Spans Detection
John Pavlopoulos, Jeffrey Sorensen, Léo Laugier et al.
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
Archit Bansal, Abhay Kaushik, Ashutosh Modi
UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model
Akbar Karimi, Leonardo Rossi, Andrea Prati
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey et al.
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection
Zhen Wang, Hongjie Fan, Junfei Liu
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans
Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri et al.
LISAC FSDM USMBA at SemEval-2021 Task 5: Tackling Toxic Spans Detection Challenge with Supervised SpanBERT-based Model and Unsupervised LIME-based Model
Abdessamad Benlahbib, Ahmed Alami, Hamza Alami
HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection
Chenyi Wang, Tianshu Liu, Tiejun Zhao
Sefamerve ARGE at SemEval-2021 Task 5: Toxic Spans Detection Using Segmentation Based 1-D Convolutional Neural Network Model
Selman Delil, Birol Kuyumcu, Cüneyt Aksakallı
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection
Mikhail Kotyushev, Anna Glazkova, Dmitry Morozov
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches
Phu Gia Hoang, Luan Thanh Nguyen, Kiet Nguyen
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection
Vaibhav Jain, Mina Naghshnejad
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
Rafel Palliser-Sans, Albert Rial-Farràs
SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection
Michał Satława, Katarzyna Zamłyńska, Jarosław Piersa et al.
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection
Flor Miriam Plaza-del-Arco, Pilar López-Úbeda, L. Alfonso Ureña-López et al.
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection
Tashin Hossain, Jannatun Naim, Fareen Tasneem et al.
SemEval-2021 Task 5: Toxic Spans Detection
John Pavlopoulos, Jeffrey Sorensen, Léo Laugier et al.
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
Archit Bansal, Abhay Kaushik, Ashutosh Modi