Papers
548 papers found
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach
Chunguang Pan, Bingyan Song, Shengguang Wang et al.
CS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity
Nabil El Mamoun, Abdelkader El Mahdaouy, Abdellah El Mekki et al.
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction
Zheng Yuan, Gladys Tyen, David Strohmaier
hub at SemEval-2021 Task 1: Fusion of Sentence and Word Frequency to Predict Lexical Complexity
Bo Huang, Yang Bai, Xiaobing Zhou
Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification
Robert Flynn, Matthew Shardlow
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
UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features
Gustavo Henrique Paetzold
RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction
Gang Rao, Maochang Li, Xiaolong Hou et al.
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction
Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way
Greta Smolenska, Peter Kolb, Sinan Tang et al.
RS_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction
Regina Stodden, Gayatri Venugopal
UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders
Milton King, Ali Hakimi Parizi, Samin Fakharian et al.
JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models
Tuqa Bani Yaseen, Qusai Ismail, Sarah Al-Omari et al.
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
Aadil Islam, Weicheng Ma, Soroush Vosoughi
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
Abhilash Nandy, Sayantan Adak, Tanurima Halder et al.
C3SL at SemEval-2021 Task 1: Predicting Lexical Complexity of Words in Specific Contexts with Sentence Embeddings
Raul Almeida, Hegler Tissot, Marcos Didonet Del Fabro
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