Jey Han Lau
Jey Han Lau
Computing and Information Systems, The University of Melbourne
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα unimelb.edu.au - Αρχική σελίδα
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Παρατίθεται από
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Automatic evaluation of topic coherence
D Newman, JH Lau, K Grieser, T Baldwin
Human language technologies: The 2010 annual conference of the North …, 2010
9102010
An empirical evaluation of doc2vec with practical insights into document embedding generation
JH Lau, T Baldwin
arXiv preprint arXiv:1607.05368, 2016
5082016
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
3912014
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
2692011
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
2382012
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
1492012
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge
JH Lau, A Clark, S Lappin
Cognitive science 41 (5), 1202-1241, 2017
1232017
Best topic word selection for topic labelling
JH Lau, D Newman, S Karimi, T Baldwin
Coling 2010: Posters, 605-613, 2010
1212010
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
1072014
On collocations and topic models
JH Lau, T Baldwin, D Newman
ACM Transactions on Speech and Language Processing (TSLP) 10 (3), 1-14, 2013
662013
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
592012
Automatic labelling of topics with neural embeddings
S Bhatia, JH Lau, T Baldwin
arXiv preprint arXiv:1612.05340, 2016
532016
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
532014
Topically driven neural language model
JH Lau, T Baldwin, T Cohn
arXiv preprint arXiv:1704.08012, 2017
522017
Unsupervised prediction of acceptability judgements
JH Lau, A Clark, S Lappin
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
462015
Novel word-sense identification
P Cook, JH Lau, D McCarthy, T Baldwin
Proceedings of COLING 2014, the 25th International Conference on …, 2014
462014
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
422016
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
412013
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
392017
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
352018
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