Jey Han Lau

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Timothy BaldwinSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
David NewmanResearch Faculty, Computer Science, University of California IrvineVerified email at uci.edu
Shalom LappinProfessor of Computational LinguisticsVerified email at kcl.ac.uk
Paul CookFaculty of Computer Science, University of New BrunswickVerified email at unb.ca
Diana McCarthyAffiliated Lecturer, DTAL University of CambridgeVerified email at dianamccarthy.co.uk
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Nikolaos AletrasUniversity of SheffieldVerified email at sheffield.ac.uk
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Mark StevensonSheffield UniversityVerified email at sheffield.ac.uk
Quan Z. (Michael) ShengFull Professor, Department of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
Ermyas AbebeIBM ResearchVerified email at au1.ibm.com
Wei Emma ZhangLecturer, The University of AdelaideVerified email at adelaide.edu.au
Sarvnaz KarimiSenior Research Scientist at CSIROVerified email at csiro.au
Ying XuOracleVerified email at au1.ibm.com
Marco LuiUniversity of MelbourneVerified email at unimelb.edu.au
Spandana GellaAmazon AIVerified email at amazon.com
Andrew BennettCornell UniversityVerified email at cornell.edu
Julian BrookeAssistant Professor of Teaching, University of British ColumbiaVerified email at ubc.ca
Francis BondAssociate Professor, Linguistics and Mulitlingual Studies, Nanyang Technological UniversityVerified email at ieee.org
Ionut-Teodor SorodocPhD student, Pompeu Fabra UniversityVerified email at upf.edu

Jey Han Lau

Computing and Information Systems, The University of Melbourne

Verified email at unimelb.edu.au - Homepage

natural language processing computational linguistics artificial intelligence deep learning generation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatic evaluation of topic coherence D Newman, JH Lau, K Grieser, T Baldwin Human language technologies: The 2010 annual conference of the North …, 2010	935	2010
An empirical evaluation of doc2vec with practical insights into document embedding generation JH Lau, T Baldwin arXiv preprint arXiv:1607.05368, 2016	529	2016
Machine reading tea leaves: Automatically evaluating topic coherence and topic model quality JH Lau, D Newman, T Baldwin Proceedings of the 14th Conference of the European Chapter of the …, 2014	400	2014
Automatic labelling of topic models JH Lau, K Grieser, D Newman, T Baldwin Proceedings of the 49th annual meeting of the association for computational …, 2011	273	2011
On-line trend analysis with topic models:# twitter trends detection topic model online JH Lau, N Collier, T Baldwin Proceedings of COLING 2012, 1519-1534, 2012	243	2012
Word sense induction for novel sense detection JH Lau, P Cook, D McCarthy, D Newman, T Baldwin Proceedings of the 13th Conference of the European Chapter of the …, 2012	149	2012
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge JH Lau, A Clark, S Lappin Cognitive science 41 (5), 1202-1241, 2017	125	2017
Best topic word selection for topic labelling JH Lau, D Newman, S Karimi, T Baldwin Coling 2010: Posters, 605-613, 2010	122	2010
Automatic detection and language identification of multilingual documents M Lui, JH Lau, T Baldwin Transactions of the Association for Computational Linguistics 2, 27-40, 2014	106	2014
On collocations and topic models JH Lau, T Baldwin, D Newman ACM Transactions on Speech and Language Processing (TSLP) 10 (3), 1-14, 2013	68	2013
Bayesian text segmentation for index term identification and keyphrase extraction D Newman, N Koilada, JH Lau, T Baldwin Proceedings of COLING 2012, 2077-2092, 2012	59	2012
Topically driven neural language model JH Lau, T Baldwin, T Cohn arXiv preprint arXiv:1704.08012, 2017	54	2017
Learning word sense distributions, detecting unattested senses and identifying novel senses using topic models JH Lau, P Cook, D McCarthy, S Gella, T Baldwin Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	53	2014
Automatic labelling of topics with neural embeddings S Bhatia, JH Lau, T Baldwin arXiv preprint arXiv:1612.05340, 2016	52	2016
Unsupervised prediction of acceptability judgements JH Lau, A Clark, S Lappin Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	46	2015
Novel word-sense identification P Cook, JH Lau, D McCarthy, T Baldwin Proceedings of COLING 2014, the 25th International Conference on …, 2014	46	2014
The sensitivity of topic coherence evaluation to topic cardinality JH Lau, T Baldwin Proceedings of the 2016 conference of the North American chapter of the …, 2016	42	2016
Detecting duplicate posts in programming QA communities via latent semantics and association rules WE Zhang, QZ Sheng, JH Lau, E Abebe Proceedings of the 26th International Conference on World Wide Web, 1221-1229, 2017	41	2017
Deep-speare: A joint neural model of poetic language, meter and rhyme JH Lau, T Cohn, T Baldwin, J Brooke, A Hammond arXiv preprint arXiv:1807.03491, 2018	40	2018
unimelb: Topic modelling-based word sense induction for web snippet clustering JH Lau, P Cook, T Baldwin Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013	40	2013

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