NLPExplorer

SemEval - 2021

Total Papers:- 187

Total Papers accross all years:- 1352

Total Citations :- 0

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DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense

Hani Al-Omari | Isra’a AbedulNabi | Rehab Duwairi |

HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection

Konrad Kaczyński | Piotr Przybyła |

NLyticsFKIE at SemEval-2021 Task 6: Detection of Persuasion Techniques In Texts And Images

Albert Pritzkau |

BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data

Abdullatif Köksal | Yusuf Yüksel | Bekir Yıldırım | Arzucan Özgür |

Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation

Zheng Yuan | David Strohmaier |

HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection

Chenyi Wang | Tianshu Liu | Tiejun Zhao |

Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness

RoMa at SemEval-2021 Task 7: A Transformer-based Approach for Detecting and Rating Humor and Offense

Roberto Labadie | Mariano Jason Rodriguez | Reynier Ortega | Paolo Rosso |

HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection

ANDI at SemEval-2021 Task 1: Predicting complexity in context using distributional models, behavioural norms, and lexical resources

Armand Rotaru |

UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection

Ben Burtenshaw | Mike Kestemont |

CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection

IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction

Kervy Rivas Rojas | Fernando Alva-Manchego |

PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)