NLPExplorer

Jey Han Lau

Number of Papers:- 29

Number of Citations:- 245

First ACL Paper:- 2010

Latest ACL Paper:- 2020

Venues:-

COLING

NAACL

EMNLP

IJCNLP

*SEMEVAL

MultiLing

ACL

CoNLL

TACL

EACL

Rep4NLP

Co-Authors:-

Similar Authors:-

Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? ACL

kobi leins | Jey Han Lau | Timothy Baldwin |

Early Rumour Detection NAACL

Kaimin Zhou | Chang Shu | Binyang Li | Jey Han Lau |

Topic Intrusion for Automatic Topic Model Evaluation EMNLP

Shraey Bhatia | Jey Han Lau | Timothy Baldwin |

Deep-speare: A joint neural model of poetic language, meter and rhyme ACL

The Influence of Context on Sentence Acceptability Judgements ACL

Jean-Philippe Bernardy | Shalom Lappin | Jey Han Lau |

Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata EMNLP WS

Multimodal Topic Labelling EACL

Ionut Sorodoc | Jey Han Lau | Nikolaos Aletras | Timothy Baldwin |

End-to-end Network for Twitter Geolocation Prediction and Hashing IJCNLP

Jey Han Lau | Lianhua Chi | Khoi-Nguyen Tran | Trevor Cohn |

An Automatic Approach for Document-level Topic Model Evaluation CoNLL

Shraey Bhatia | Jey Han Lau | Timothy Baldwin |

Topically Driven Neural Language Model ACL

Jey Han Lau | Timothy Baldwin | Trevor Cohn |

Decoupling Encoder and Decoder Networks for Abstractive Document Summarization MultiLing WS

Ying Xu | Jey Han Lau | Timothy Baldwin | Trevor Cohn |

Automatic Labelling of Topics with Neural Embeddings COLING

Shraey Bhatia | Jey Han Lau | Timothy Baldwin |

The Sensitivity of Topic Coherence Evaluation to Topic Cardinality NAACL

Jey Han Lau | Timothy Baldwin |

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning ACL

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation Rep4NLP WS

Jey Han Lau | Timothy Baldwin |

Unsupervised Prediction of Acceptability Judgements ACL IJCNLP

Jey Han Lau | Alexander Clark | Shalom Lappin |

Novel Word-sense Identification COLING

Paul Cook | Jey Han Lau | Diana McCarthy | Timothy Baldwin |

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality EACL

Jey Han Lau | David Newman | Timothy Baldwin |

Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models ACL

Automatic Detection and Language Identification of Multilingual Documents TACL

Marco Lui | Jey Han Lau | Timothy Baldwin |

Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian IJCNLP

Meladel Mistica | Jey Han Lau | Timothy Baldwin |

unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering *SEMEVAL

Jey Han Lau | Paul Cook | Timothy Baldwin |

unimelb: Topic Modelling-based Word Sense Induction *SEMEVAL

Jey Han Lau | Paul Cook | Timothy Baldwin |

On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online COLING

Jey Han Lau | Nigel Collier | Timothy Baldwin |

Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction COLING

David Newman | Nagendra Koilada | Jey Han Lau | Timothy Baldwin |

Word Sense Induction for Novel Sense Detection EACL

Automatic Labelling of Topic Models ACL

Jey Han Lau | Karl Grieser | David Newman | Timothy Baldwin |

Best Topic Word Selection for Topic Labelling COLING

Jey Han Lau | David Newman | Sarvnaz Karimi | Timothy Baldwin |

Automatic Evaluation of Topic Coherence NAACL

David Newman | Jey Han Lau | Karl Grieser | Timothy Baldwin |