Papers
104 papers found
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection
Zhen Wang, Hongjie Fan, Junfei Liu
HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training
Huiyang Ding, David Jurgens
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans
Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri et al.
YNU-HPCC at SemEval-2021 Task 5: Using a Transformer-based Model with Auxiliary Information for Toxic Span Detection
Ruijun Chen, Jin Wang, Xuejie Zhang
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
AStarTwice at SemEval-2021 Task 5: Toxic Span Detection Using RoBERTa-CRF, Domain Specific Pre-Training and Self-Training
Thakur Ashutosh Suman, Abhinav Jain
hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification
Bo Huang, Yang Bai, Xiaobing Zhou
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
SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection
David Dale, Igor Markov, Varvara Logacheva et al.
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection
Vaibhav Jain, Mina Naghshnejad
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective
Mayukh Sharma, Ilanthenral Kandasamy, W.b. Vasantha
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.
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models
Alireza Salemi, Nazanin Sabri, Emad Kebriaei et al.
NITK-IT_NLP@TamilNLP-ACL2022: Transformer based model for Toxic Span Identification in Tamil
Hariharan LekshmiAmmal, Manikandan Ravikiran, Anand Kumar Madasamy
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