NLPExplorer

SemEval - 2021

Total Papers:- 187

Total Papers accross all years:- 1352

Total Citations :- 0

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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 | Ashutosh Modi |

ES-JUST at SemEval-2021 Task 7: Detecting and Rating Humor and Offensive Text Using Deep Learning

Emran Al Bashabsheh | Sanaa Abu Alasal |

HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection

Rafel Palliser-Sans | Albert Rial-Farràs |

Complex words identification using word-level features for SemEval-2020 Task 1

Jenny A. Ortiz-Zambrano | Arturo Montejo-Ráez |

Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense

Renyuan Liu | Xiaobing Zhou |

PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning

YNU-HPCC at SemEval-2021 Task 6: Combining ALBERT and Text-CNN for Persuasion Detection in Texts and Images

Xingyu Zhu | Jin Wang | Xuejie Zhang |

IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task

NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection

Vansh Gupta | Raksha Sharma |

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 |

RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction

UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features

Gustavo Henrique Paetzold |

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers

OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction

Yuki Taya | Lis Kanashiro Pereira | Fei Cheng | Ichiro Kobayashi |

CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way