Jey Han Lau  Jey Han Lau photo       

contact information

Research Scientist
Melbourne Research Laboratory, Melbourne, Australia
  +613dash9626dash6490

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Professional Associations

Professional Associations:  Association for Computational Linguistics


2017

An Automatic Approach for Document-level Topic Model Evaluation (to appear)
S. Bhatia, J.H. Lau, T. Baldwin
Proceedings of the Twenty First Conference on Computational Natural Language Learning (CoNLL 2017)

Topically Driven Neural Language Model (to appear)
J.H. Lau, T. Baldwin and T. Cohn
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)

Decoupling Encoder and Decoder Networks for Abstractive Document Summarization
Y. Xu, J.H. Lau, T. Baldwin and T. Cohn
Proceedings of MultiLing 2017: Summarization and Summary Evaluation across Source Types and Genre, pp. 7--11

Multimodal Topic Labelling
I. Sorodoc, J.H. Lau, N. Aletras and T. Baldwin
Proceedings of the 15th Conference of the EACL (EACL 2017), pp. 701--706

Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Associations Rules
W. Zhang, Q.Z. Sheng, E. Abebe and J.H. Lau
Proceedings of the 26th International Conference of the World Wide Web (WWW2017), pp. 1221--1229

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge
J. H. Lau, A. Clark, and S. Lappin
Cognitive Science 41(5), 1202--1241, 2017

Evaluating topic representations for exploring document collections
N. Aletras, T. Baldwin, J.H. Lau, and M. Stevenson
Journal of the Association for Information Science and Technology 68(1), 154--167, 2017


2016

Automatic Labelling of Topics with Neural Embeddings
S. Bhatia, J.H. Lau and T. Baldwin
Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), pp. 953-963

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
J. H. Lau, T. Baldwin
Proceedings of the 1st Workshop on Representation Learning for NLP, pp. 78--86, 2016

The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
J. H. Lau, T. Baldwin
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics -- Human Language Technologies (NAACL HLT 2016), pp. 483--487

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
A. Bennett, T. Baldwin, J. H. Lau, D. McCarthy, F. Bond
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 1513--1524


2015

Proceedings of TM 2015 --- Topic Models: Post-Processing and Applications Workshop
N. Aletras, J.H. Lau, T. Baldwin and M. Stevenson
TM 2015

Unsupervised Prediction of Acceptability Judgements
J.H. Lau, A. Clark, S. Lappin
Proceedings of the Joint conference of the 53rdAnnual Meeting of the Association for Computational Linguistics andthe 7th International Joint Conference on Natural Language Processingof the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015), pp. 1618--1628


2014

Automatic Detection and Language Identification of Multilingual Documents
M. Lui, J.H. Lau, T. Baldwin
Transactions of the Association for Computational Linguistics2(Feb), 27--40, 2014

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
J.H. Lau, D. Newman, T. Baldwin
Proceedings of the 14th Conference of the EACL (EACL 2014), pp. 530--539

Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models
J.H. Lau, P. Cook, D. McCarthy, S. Gella, T. Baldwin
Proceedings of the 52nd Annual Meet- ing of the Association for Computational Linguistics (ACL 2014), pp. 259--270

Measuring Gradience in Speakers' Grammaticality Judgements
J.H. Lau, A. Clark, S. Lappin
Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014), pp. 821--826

Applying a Word-sense Induction System to the Automatic Extraction of Diverse Dictionary Examples
P. Cook, M. Rundell, J.H. Lau, T. Baldwin
Proceedings of the XVI EURALEX International Congress (EURALEX 2014), pp. 15-19

Novel Word-sense Identification
P. Cook, J.H. Lau, D. Mccarthy, T. Baldwin
Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), pp. 1624--1635

Representing Topics Labels for Exploring Digital Libraries
N. Aletras, T. Baldwin, J.H. Lau, M. Stevenson
Proceedings of Digital Libraries 2014


2013

On Collocations and Topic Models
J.H. Lau, T. Baldwin, D. Newman
ACM Transactions on Speech and Language Processing10, 1--14, 2013

unimelb: Topic Modelling-based Word Sense Induction
J.H. Lau, P. Cook, T. Baldwin
Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013)

unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
J.H. Lau, P. Cook, T. Baldwin
Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013)

A Lexicographic Appraisal of an Automatic Approach for Detecting New Word Senses
P. Cook, J.H. Lau, T. Baldwin
Proceedings of eLex 2013, pp. 49--65

Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian
M. Mistica, J.H. Lau, T. Baldwin
Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), pp. 685--691


2012

Word Sense Induction for Novel Sense Detection
J.H. Lau, P. Cook, D. McCarthy, D. Newman, T. Baldwin
Proceedings of the 13th Conference of the EACL (EACL 2012), pp. 591--601

Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction
D. Newman, N. Koilda, J.H. Lau, T. Baldwin
Proceedings of the 24th International Conference of on Computational Linguistics (COLING 2012), pp. 2077--2092

On-line Trend Analysis with Topic Models: \#twitter trends detection topic model online
J.H. Lau, N. Collier, T. Baldwin
Proceedings of the 24th International Conference of on Computational Linguistics (COLING 2012), pp. 1519--1534


2011

Automatic Labelling of Topics
J.H. Lau, K. Grieser, D. Newman, T. Baldwin
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT 2011), pp. 1536-1545


2010

Automatic Evaluation of Topic Coherence
D. Newman, J.H. Lau, K. Grieser, T. Baldwin
Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), pp. 100--108

Best Topic Word Selection for Topic Labelling
J.H. Lau, D. Newman, S. Karimi, T. Baldwin
Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Posters Volume, pp. 605--613




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