NLPExplorer

SemEval - 2022

Total Papers:- 234

Total Papers accross all years:- 1352

Total Citations :- 0

« 10 11 12 13 14 15 16 »

AMEX AI Labs at SemEval-2022 Task 10: Contextualized fine-tuning of BERT for Structured Sentiment Analysis

Pratyush Sarangi | Shamika Ganesan | Piyush Arora | Salil Joshi |

AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques

Aya Lotfy | Marwan Torki | Nagwa El-Makky |

Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER

Amit Pandey | Swayatta Daw | Vikram Pudi |

niksss at SemEval-2022 Task7:Transformers for Grading the Clarifications on Instructional Texts

Nikhil Singh |

HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection

Zihang Liu | Yancheng He | Feiqing Zhuang | Bing Xu |

UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks

Xingmeng Zhao | Anthony Rios |

R2D2 at SemEval-2022 Task 5: Attention is only as good as its Values! A multimodal system for identifying misogynist memes

Mayukh Sharma | Ilanthenral Kandasamy | Vasantha W B |

ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach

Raghav R | Adarsh Vemali | Rajdeep Mukherjee |

TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes

Paridhi Maheshwari | Sharmila Reddy Nangi |

GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection

JCT at SemEval-2022 Task 4-A: Patronism Detection in Posts Written in English using Preprocessing Methods and various Machine Leaerning Methods

Yaakov HaCohen-Kerner | Ilan Meyrowitsch | Matan Fchima |

BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling

drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM

Dylan Phelps |

LastResort at SemEval-2022 Task 5: Towards Misogyny Identification using Visual Linguistic Model Ensembles And Task-Specific Pretraining

Samyak Agrawal | Radhika Mamidi |