Papers
518 papers found
YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles
Xinge Ma, Jin Wang, Xuejie Zhang
ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction
Genyu Zhang, Yu Su, Changhong He et al.
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers
Hardik Arora, Tirthankar Ghosal, Sandeep Kumar et al.
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers
Rohan Gupta, Jay Mundra, Deepak Mahajan et al.
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection
Qinglin Zhu, Zijie Lin, Yice Zhang et al.
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.
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task
Neil Shirude, Sagnik Mukherjee, Tushar Shandhilya et al.
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
Abhinandan Tejalkumar Desai, Kai North, Marcos Zampieri et al.
CompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features
Giuseppe Vettigli, Antonio Sorgente
PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)
Rong Xiang, Jinghang Gu, Emmanuele Chersoni et al.
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
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.