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 Research (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 AbebeVerified email at consensys.net
Wei Emma ZhangThe University of Adelaide | AIMLVerified 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 GellaServiceNow ResearchVerified email at servicenow.com
Andrew BennettMorgan StanleyVerified email at morganstanley.com
Meladel MisticaComputing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au

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	1545	2010
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation JH Lau arXiv preprint arXiv:1607.05368, 2016	925	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	775	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	363	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	297	2012
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge JH Lau, A Clark, S Lappin Cognitive science 41 (5), 1202-1241, 2017	260	2017
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	220	2020
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	185	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	154	2014
Best topic word selection for topic labelling JH Lau, D Newman, S Karimi, T Baldwin Coling 2010: Posters, 605-613, 2010	144	2010
Automatic labelling of topics with neural embeddings S Bhatia, JH Lau, T Baldwin arXiv preprint arXiv:1612.05340, 2016	118	2016
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	106	2018
On collocations and topic models JH Lau, T Baldwin, D Newman ACM Transactions on Speech and Language Processing (TSLP) 10 (3), 1-14, 2013	100	2013
Topically driven neural language model JH Lau, T Baldwin, T Cohn arXiv preprint arXiv:1704.08012, 2017	97	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	87	2019
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	80	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	78	2017
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	75	2012
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	67	2014
One country, 700+ languages: NLP challenges for underrepresented languages and dialects in Indonesia AF Aji, GI Winata, F Koto, S Cahyawijaya, A Romadhony, R Mahendra, ... arXiv preprint arXiv:2203.13357, 2022	64	2022

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