Papers
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation.
Wei Li, Harish Tayyar Madabushi, Mark Lee
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth
Emmanuel Osei-Brefo, Thanet Markchom, Huizhi Liang
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning
Thanet Markchom, Huizhi Liang
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection
Zehao Liu, Carl Haines, Huizhi Liang
UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter
Hamed Babaei Giglou, Taher Rahgooy, Mostafa Rahgouy et al.
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction
George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense
Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel, Mihai Dascalu
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering
Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel et al.
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
Huiling You, Xingran Zhu, Sara Stymne
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
Sebastin Santy, Anku Rani, Monojit Choudhury
UserAdapter: Few-Shot User Learning in Sentiment Analysis
Wanjun Zhong, Duyu Tang, Jiahai Wang et al.
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
Jieyu Lin, Jiajie Zou, Nai Ding
Using Gender- and Polarity-Informed Models to Investigate Bias
Samia Touileb, Lilja Øvrelid, Erik Velldal
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification
Erenay Dayanik, Andre Blessing, Nico Blokker et al.
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems
Claudio Pinhanez, Paulo Cavalin, Victor Henrique Alves Ribeiro et al.
Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension
Shohini Bhattasali, Philip Resnik
UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features
Gustavo Henrique Paetzold
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.
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP
M Saiful Bari, Tasnim Mohiuddin, Shafiq Joty
Value-Agnostic Conversational Semantic Parsing
Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy et al.
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
Haoyang Wen, Anthony Ferritto, Heng Ji et al.