NLPExplorer

Man Lan

Number of Papers:- 54

Number of Citations:- 169

First ACL Paper:- 2010

Latest ACL Paper:- 2022

Venues:-

SemEval

EACL

ACL

*SEMEVAL

CoNLL

COLING

SIGDIAL

EMNLP

Co-Authors:-

Similar Authors:-

An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism ACL

Understanding Gender Bias in Knowledge Base Embeddings ACL

A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs COLING

Few Clean Instances Help Denoising Distant Supervision COLING

From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment EMNLP

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

A Span-based Linearization for Constituent Trees ACL

Yang Wei | Yuanbin Wu | Man Lan |

ECNU at SemEval-2020 Task 7: Assessing Humor in Edited News Headlines Using BiLSTM with Attention COLING SemEval

Tiantian Zhang | Zhixuan Chen | Man Lan |

Exploring Human Gender Stereotypes with Word Association Test EMNLP

Yupei Du | Yuanbin Wu | Man Lan |

Joint Type Inference on Entities and Relations via Graph Convolutional Networks ACL

Graph-based Dependency Parsing with Graph Neural Networks ACL

Tao Ji | Yuanbin Wu | Man Lan |

Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title ACL

Extracting Entities and Relations with Joint Minimum Risk Training EMNLP

AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing CoNLL

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models *SEMEVAL

Huimin Xu | Man Lan | Yuanbin Wu |

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 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods *SEMEVAL

Zhenghang Yin | Feixiang Wang | Man Lan | Wenting Wang |

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 |

Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification EMNLP

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network EACL

A Fast and Lightweight System for Multilingual Dependency Parsing CoNLL

Tao Ji | Yuanbin Wu | Man Lan |

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 |

Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task CoNLL

Jianxiang Wang | Man Lan |

ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter *SEMEVAL

Yunxiao Zhou | Zhihua Zhang | Man Lan |

ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews *SEMEVAL

Mengxiao Jiang | Zhihua Zhang | Man Lan |

ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets *SEMEVAL

Zhihua Zhang | Man Lan |

ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking *SEMEVAL

Feixiang Wang | Zhihua Zhang | Man Lan |

ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity *SEMEVAL

Junfeng Tian | Man Lan |

ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering *SEMEVAL

Guoshun Wu | Man Lan |

A Refined End-to-End Discourse Parser CoNLL

Jianxiang Wang | Man Lan |

ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter *SEMEVAL

Jiang Zhao | Man Lan |

ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation *SEMEVAL

Jiang Zhao | Man Lan | Jun Feng Tian |

ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference *SEMEVAL

Liang Yi | JianXiang Wang | Man Lan |

ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features *SEMEVAL

Zhihua Zhang | Guoshun Wu | Man Lan |

ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews *SEMEVAL

Zhihua Zhang | Man Lan |

ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification *SEMEVAL

Fangxi Zhang | Zhihua Zhang | Man Lan |

ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features *SEMEVAL

Jiang Zhao | Man Lan | Tiantian Zhu |

ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation *SEMEVAL

Tiantian Zhu | Man Lan |

ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment *SEMEVAL

Jiang Zhao | Tiantian Zhu | Man Lan |

Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition ACL

Man Lan | Yu Xu | Zhengyu Niu |

Probabilistic Sense Sentiment Similarity through Hidden Emotions ACL

Mitra Mohtarami | Man Lan | Chew Lim Tan |

ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements *SEMEVAL

Tiantian Zhu | Lan Man |

ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures *SEMEVAL

Jiang Zhao | Man Lan | Zheng-Yu Niu |

ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2) *SEMEVAL

Tiantian Zhu | Fangxi Zhang | Lan Man |

Tiantianzhu7:System Description of Semantic Textual Similarity (STS) in the SemEval-2012 (Task 6) *SEMEVAL

Tiantian Zhu | Man Lan |

Predicting Discourse Connectives for Implicit Discourse Relation Recognition COLING

ECNU: Effective Semantic Relations Classification without Complicated Features or Multiple External Corpora *SEMEVAL

The Effects of Discourse Connectives Prediction on Implicit Discourse Relation Recognition SIGDIAL WS