NLPExplorer

Huizhi Liang

Number of Papers:- 22

Number of Citations:- 7

First ACL Paper:- 2015

Latest ACL Paper:- 2024

Venues:-

NAACL

SemEval

ACL

*SEMEVAL

IJCNLP

WASSA

COLING

Co-Authors:-

Similar Authors:-

NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations SemEval

Shu Li | Zicen Liao | Huizhi Liang |

NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection SemEval

NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT SemEval

Thanet Markchom | Subin Jung | Huizhi Liang |

NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation SemEval

Junzhe Zhao | Yingxi Wang | Huizhi Liang | Nicolay Rusnachenko |

nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States SemEval

Nicolay Rusnachenko | Huizhi Liang |

Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns WASSA WS

Liting Huang | Huizhi Liang |

Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM’s Prediction with Role-play Augmentation and Contrastive Reasoning Calibration WASSA WS

Tian Li | Nicolay Rusnachenko | Huizhi Liang |

hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns WASSA WS

NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach WASSA WS

Emmanuel Osei-Brefo | Huizhi Liang |

UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation SemEval

nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation SemEval

Nicolay Rusnachenko | Thanet Markchom | Huizhi Liang |

Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents SemEval

Junzhe Zhao | Yingxi Wang | Nicolay Rusnachenko | Huizhi Liang |

UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection NAACL SemEval

Emmanuel Osei-Brefo | Huizhi Liang |

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations NAACL SemEval

Thanet Markchom | Huizhi Liang | Jiaoyan Chen |

UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning ACL IJCNLP SemEval

Thanet Markchom | Huizhi Liang |

UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection ACL IJCNLP SemEval

Zehao Liu | Carl Haines | Huizhi Liang |

UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth ACL IJCNLP SemEval

Emmanuel Osei-Brefo | Thanet Markchom | Huizhi Liang |

UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis COLING SemEval

Zehao Liu | Emmanuel Osei-Brefo | Siyuan Chen | Huizhi Liang |

UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation COLING SemEval

Thanet Markchom | Bhuvana Dhruva | Chandresh Pravin | Huizhi Liang |

UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification *SEMEVAL

Steven Xu | HuiZhi Liang | Timothy Baldwin |

UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures *SEMEVAL

RoseMerry: A Baseline Message-level Sentiment Classification System *SEMEVAL

Huizhi Liang | Richard Fothergill | Timothy Baldwin |