NLPExplorer

SemEval - 2022

Total Papers:- 234

Total Papers accross all years:- 1352

Total Citations :- 0

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Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages

Amit Pandey | Swayatta Daw | Narendra Unnam | Vikram Pudi |

I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning

Pablo Gonzalez Diaz | Pablo Cordon | Jacinto Mata | Victoria Pachón |

SemEval-2022 Task 4: Patronizing and Condescending Language Detection

Carla Perez-Almendros | Luis Espinosa-Anke | Steven Schockaert |

SRCB at SemEval-2022 Task 5: Pretraining Based Image to Text Late Sequential Fusion System for Multimodal Misogynous Meme Identification

Jing Zhang | Yujin Wang |

MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities

Giuseppe Attanasio | Debora Nozza | Federico Bianchi |

Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis

Gaku Morio | Hiroaki Ozaki | Atsuki Yamaguchi | Yasuhiro Sogawa |

MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners

Maryam Najafi | Ehsan Tavan |

silpa_nlp at SemEval-2022 Tasks 11: Transformer based NER models for Hindi and Bangla languages

Sumit Singh | Pawankumar Jawale | Uma Tiwary |

CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data

Suman Dowlagar | Radhika Mamidi |

MT-Speech at SemEval-2022 Task 10: Incorporating Data Augmentation and Auxiliary Task with Cross-Lingual Pretrained Language Model for Structured Sentiment Analysis

RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle

Lei Chen | Hou Wei Chou |

UFRGSent at SemEval-2022 Task 10: Structured Sentiment Analysis using a Question Answering Model

Lucas Pessutto | Viviane Moreira |

SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model

Yue Zhou | Bowei Wei | Jianyu Liu | Yang Yang |

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models