NLPExplorer

SemEval - 2023

Total Papers:- 319

Total Papers accross all years:- 1352

Total Citations :- 0

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teamPN at SemEval-2023 Task 1: Visual Word Sense Disambiguation Using Zero-Shot MultiModal Approach

Nikita Katyal | Pawan Rajpoot | Subhanandh Tamilarasu | Joy Mustafi |

UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News

NCUEE-NLP at SemEval-2023 Task 8: Identifying Medical Causal Claims and Extracting PIO Frames Using the Transformer Models

Lung-Hao Lee | Yuan-Hao Cheng | Jen-Hao Yang | Kao-Yuan Tien |

John Boy Walton at SemEval-2023 Task 5: An Ensemble Approach to Spoiler Classification and Retrieval for Clickbait Spoiling

Maksim Shmalts |

Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and Chinese

MDC at SemEval-2023 Task 7: Fine-tuning Transformers for Textual Entailment Prediction and Evidence Retrieval in Clinical Trials

Robert Bevan | Oisn Turbitt | Mouhamad Aboshokor |

IXA at SemEval-2023 Task 2: Baseline Xlm-Roberta-base Approach

Edgar Andres Santamaria |

ROZAM at SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis

Mohammadmostafa Rostamkhani | Ghazal Zamaninejad | Sauleh Eetemadi |

Brainstormers_msec at SemEval-2023 Task 10: Detection of sexism related comments in social media using deep learning

HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy

Trinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data?

Bhavish Pahwa | Bhavika Pahwa |

RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network

Abir Chakraborty |

SemEval-2023 Task 6: LegalEval - Understanding Legal Texts