NLPExplorer

SemEval - 2022

Total Papers:- 234

Total Papers accross all years:- 1352

Total Citations :- 0

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TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes

Sherzod Hakimov | Gullal Singh Cheema | Ralph Ewerth |

YNU-HPCC at SemEval-2022 Task 5: Multi-Modal and Multi-label Emotion Classification Based on LXMERT

Chao Han | Jin Wang | Xuejie Zhang |

reamtchka at SemEval-2022 Task 6: Investigating the effect of different loss functions for Sarcasm detection for unbalanced datasets

Reem Abdel-Salam |

Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task

SemEval-2022 Task 8: Multilingual news article similarity

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)

CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3

Daniel Saeedi | Sirwe Saeedi | Aliakbar Panahi | Alvis C.M. Fong |

SPDB Innovation Lab at SemEval-2022 Task 10: A Novel End-to-End Structured Sentiment Analysis Model based on the ERNIE-M

Yalong Jia | Zhenghui Ou | Yang Yang |

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection

UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection using generative-based and mutation-based data augmentation

Amirhossein Abaskohi | Arash Rasouli | Tanin Zeraati | Behnam Bahrak |

Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language

I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques

Adrián Moreno Monterde | Laura Vázquez Ramos | Jacinto Mata | Victoria Pachón Álvarez |

GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity

Iknoor Singh | Yue Li | Melissa Thong | Carolina Scarton |

PALI at SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts