NLPExplorer

SemEval - 2021

Total Papers:- 187

Total Papers accross all years:- 1352

Total Citations :- 0

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SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection

NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans

Jonathan Rusert |

FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection

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 | Mihai Dascalu |

GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task

Wanying Xie |

UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions

Haoyang Liu | M. Janina Sarol | Halil Kilicoglu |

THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation

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

Albert Pritzkau |

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

UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning

Thanet Markchom | Huizhi Liang |

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