Automatic evaluation of topic coherence D Newman, JH Lau, K Grieser, T Baldwin Human language technologies: The 2010 annual conference of the North …, 2010 | 1476 | 2010 |
An empirical evaluation of doc2vec with practical insights into document embedding generation JH Lau, T Baldwin arXiv preprint arXiv:1607.05368, 2016 | 896 | 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 | 754 | 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 | 358 | 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 | 292 | 2012 |
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge JH Lau, A Clark, S Lappin Cognitive science 41 (5), 1202-1241, 2017 | 241 | 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 | 195 | 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 | 174 | 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 | 151 | 2014 |
Best topic word selection for topic labelling JH Lau, D Newman, S Karimi, T Baldwin Coling 2010: Posters, 605-613, 2010 | 142 | 2010 |
Automatic labelling of topics with neural embeddings S Bhatia, JH Lau, T Baldwin arXiv preprint arXiv:1612.05340, 2016 | 116 | 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 | 99 | 2013 |
Topically driven neural language model JH Lau, T Baldwin, T Cohn arXiv preprint arXiv:1704.08012, 2017 | 96 | 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 | 94 | 2018 |
Early rumour detection K Zhou, C Shu, B Li, JH Lau Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 83 | 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 | 77 | 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 | 76 | 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 | 66 | 2014 |
Unsupervised prediction of acceptability judgements JH Lau, A Clark, S Lappin Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 59 | 2015 |