Jey Han Lau

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Timothy BaldwinMBZUAI and The University of MelbourneVerified email at unimelb.edu.au
David NewmanResearch Faculty, Computer Science, University of California IrvineVerified email at uci.edu
Trevor CohnGoogle DeepMind (Research Scientist) & University of Melbourne (Professor; School of CIS)Verified email at unimelb.edu.au
Shalom LappinProfessor of Computational LinguisticsVerified email at kcl.ac.uk
Paul CookFaculty of Computer Science, University of New BrunswickVerified email at unb.ca
Alexander ClarkDepartment of Philosophy, Linguistics and Theory of Science, Gothenburg UniversityVerified email at gu.se
Diana McCarthyAffiliated Lecturer, DTAL University of CambridgeVerified email at dianamccarthy.co.uk
Nikos AletrasUniversity of SheffieldVerified email at sheffield.ac.uk
Ying XuOracleVerified email at au1.ibm.com
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
Ermyas AbebeConsenSys R&DVerified email at consensys.net
Wei Emma ZhangLecturer, The University of AdelaideVerified email at adelaide.edu.au
Mark StevensonSheffield UniversityVerified email at sheffield.ac.uk
Marco LuiUniversity of MelbourneVerified email at unimelb.edu.au
Sarvnaz KarimiCSIROVerified email at csiro.au
Julian BrookeAssistant Professor of Teaching, University of British ColumbiaVerified email at ubc.ca
Spandana GellaAmazon AIVerified email at amazon.com
Andrew BennettMorgan StanleyVerified email at morganstanley.com
Francis BondDepartment of Asian Studies, Palacký University Olomouc.Verified email at ieee.org

Jey Han Lau

Computing and Information Systems, The University of Melbourne

Verified email at unimelb.edu.au - Homepage

natural language processing artificial intelligence deep learning natural language generation misinformation


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	1374	2010
An empirical evaluation of doc2vec with practical insights into document embedding generation JH Lau, T Baldwin arXiv preprint arXiv:1607.05368, 2016	830	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	663	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	344	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	283	2012
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge JH Lau, A Clark, S Lappin Cognitive science 41 (5), 1202-1241, 2017	215	2017
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	165	2012
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	139	2014
Best topic word selection for topic labelling JH Lau, D Newman, S Karimi, T Baldwin Coling 2010: Posters, 605-613, 2010	138	2010
IndoLEM and IndoBERT: A benchmark dataset and pre-trained language model for Indonesian NLP F Koto, A Rahimi, JH Lau, T Baldwin arXiv preprint arXiv:2011.00677, 2020	128	2020
Automatic labelling of topics with neural embeddings S Bhatia, JH Lau, T Baldwin arXiv preprint arXiv:1612.05340, 2016	104	2016
On collocations and topic models JH Lau, T Baldwin, D Newman ACM Transactions on Speech and Language Processing (TSLP) 10 (3), 1-14, 2013	98	2013
Topically driven neural language model JH Lau, T Baldwin, T Cohn arXiv preprint arXiv:1704.08012, 2017	89	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	87	2018
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	74	2017
Early rumour detection K Zhou, C Shu, B Li, JH Lau Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	72	2019
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	72	2012
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	70	2016
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	62	2014
Novel word-sense identification P Cook, JH Lau, D McCarthy, T Baldwin Proceedings of COLING 2014, the 25th International Conference on …, 2014	57	2014

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