NLPExplorer

Yuanbin Wu

Number of Papers:- 52

Number of Citations:- 194

First ACL Paper:- 2009

Latest ACL Paper:- 2024

Venues:-

CoNLL

COLING

EMNLP

Findings

ACL

EACL

*SEMEVAL

IJCNLP

Co-Authors:-

Similar Authors:-

Length Generalization of Causal Transformers without Position Encoding F i n d i n g s - A C L

Towards Explainable Chinese Native Learner Essay Fluency Assessment: Dataset, Tasks, and Method F i n d i n g s - E M N L P

Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models EMNLP

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis F i n d i n g s - E M N L P

CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays F i n d i n g s - E M N L P

Generation with Dynamic Vocabulary EMNLP

Typology Guided Multilingual Position Representations: Case on Dependency Parsing F i n d i n g s - A C L

Tao Ji | Yuanbin Wu | Xiaoling Wang |

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition F i n d i n g s - A C L

Connective Prediction for Implicit Discourse Relation Recognition via Knowledge Distillation ACL

A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis EMNLP

Rehearsal-free Continual Language Learning via Efficient Parameter Isolation ACL

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL

Understanding Gender Bias in Knowledge Base Embeddings ACL

Few Clean Instances Help Denoising Distant Supervision COLING

LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation EMNLP

Xin Mao | Wenting Wang | Yuanbin Wu | Man Lan |

Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition F i n d i n g s - E M N L P

ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task *SEMEVAL

Xingwu Lu | Xin Mao | Man Lan | Yuanbin Wu |

ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection *SEMEVAL

Yunxiao Zhou | Man Lan | Yuanbin Wu |

ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task *SEMEVAL

Yixuan Sheng | Man Lan | Yuanbin Wu |

ECNU at SemEval-2018 Task 12: An End-to-End Attention-based Neural Network for the Argument Reasoning Comprehension Task *SEMEVAL

Junfeng Tian | Man Lan | Yuanbin Wu |

ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity *SEMEVAL

Junfeng Tian | Zhiheng Zhou | Man Lan | Yuanbin Wu |

ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task *SEMEVAL

Guoshun Wu | Yixuan Sheng | Man Lan | Yuanbin Wu |

ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns *SEMEVAL

Yuhuan Xiu | Man Lan | Yuanbin Wu |

ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models *SEMEVAL

Feixiang Wang | Man Lan | Yuanbin Wu |

ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification *SEMEVAL

Yunxiao Zhou | Man Lan | Yuanbin Wu |

ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain *SEMEVAL

Mengxiao Jiang | Man Lan | Yuanbin Wu |