Papers
518 papers found
UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations
Bradley Hauer, Hongchang Bao, Arnob Mallik et al.
TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation
Hansi Hettiarachchi, Tharindu Ranasinghe
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation
Adis Davletov, Nikolay Arefyev, Denis Gordeev et al.
FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation
Ciprian Bodnar, Andrada Tapuc, Cosmin Pintilie et al.
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning
Thanet Markchom, Huizhi Liang
Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction
Shikhar Shukla, Sarthak, Karm Veer Arya
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
Xin Xie, Xiangnan Chen, Xiang Chen et al.
PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning
Ye Wang, Yanmeng Wang, Haijun Zhu et al.
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
Zhixiang Chen, Yikun Lei, Pai Liu et al.
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
GHOST at SemEval-2021 Task 5: Is explanation all you need?
Kamil Pluciński, Hanna Klimczak
GoldenWind at SemEval-2021 Task 5: Orthrus - An Ensemble Approach to Identify Toxicity
Marco Palomino, Dawid Grad, James Bedwell
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
S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging
Viet Anh Nguyen, Tam Minh Nguyen, Huy Quang Dao et al.
UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection
Ben Burtenshaw, Mike Kestemont
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.