Papers
3,728 papers found
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings
Erik Rozi, Niveditha Iyer, Gordon Chi et al.
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation
Shuyi Xie, Jian Ma, Haiqin Yang et al.
hub at SemEval-2021 Task 2: Word Meaning Similarity Prediction Model Based on RoBERTa and Word Frequency
Bo Huang, Yang Bai, Xiaobing Zhou
Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense Disambiguation
Niloofar Ranjbar, Hossein Zeinali
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation
Zheng Yuan, David Strohmaier
PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training
Harsh Goyal, Aadarsh Singh, Priyanshu Kumar
LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation
Moustafa Al-Hajj, Mustafa Jarrar
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings
Maxim Rachinskiy, Nikolay Arefyev
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.
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
Yuxin Jiang, Ziyi Shou, Qijun Wang 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