NLPExplorer

SemEval - 2021

Total Papers:- 187

Total Papers accross all years:- 1352

Total Citations :- 0

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

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

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

Armand Rotaru |

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 |

UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders

Milton King | Ali Hakimi Parizi | Samin Fakharian | Paul Cook |

abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense

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

Ben Burtenshaw | Mike Kestemont |

CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense

hub at SemEval-2021 Task 2: Word Meaning Similarity Prediction Model Based on RoBERTa and Word Frequency

Bo Huang | Yang Bai | Xiaobing Zhou |

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

Albert Pritzkau |

archer at SemEval-2021 Task 1: Contextualising Lexical Complexity

Irene Russo |

hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense

Bo Huang | Yang Bai |

Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation

Sangwon Yoon | Yanghoon Kim | Kyomin Jung |

XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning

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