Jey Han Lau

Improved Document Modelling with a Neural Discourse Parser

Timothy Baldwin, Fajri Koto, Jey Han Lau

Conference Proceedings  |  2019  |  Proceedings of the 17th Workshop of the Australasian Language Technology Association

Despite the success of attention-based neural models for natural language generation and classification tasks, they are unable to ..

Early Rumour Detection

Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau

Conference Proceedings  |  2019  |  Proceedings of the 2019 Conference of the North

The influence of context on sentence acceptability judgements

JP Bernardy, S Lappin, JH Lau

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Document chunking and learning objective generation for instruction design

KN Tran, JH Lau, D Contractor, U Gupta, B Sengupta, CJ Butler, M Mohania

Conference Proceedings  |  2018  |  Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018

Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata

Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin

Conference Proceedings  |  2018  |  Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text

Topic Intrusion for Automatic Topic Model Evaluation

Shraey Bhatia, Jey Han Lau, Timothy Baldwin

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Deep-speare: A joint neural model of poetic language, meter and rhyme

Timothy Baldwin, Trevor Cohn, Julian Brooke, Jey Han Lau, Adam Hammond

Conference Proceedings  |  2018  |  ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Duplicate Detection in Programming Question Answering Communities

Wei Emma Zhang, Quan Z Sheng, Jey Han Lau, Ermyas Abebe, Wenjie Ruan

Journal article  |  2018  |  ACM Transactions on Internet Technology

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge

Jey Han Lau, Alexander Clark, Shalom Lappin

Journal article  |  2017  |  Cognitive Science

Evaluating topic representations for exploring document collections

N Aletras, T Baldwin, JH Lau, M Stevenson

Journal article  |  2017  |  Journal of the Association for Information Science and Technology

Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules

Wei Emma Zhang, Quan Z Sheng, Jey Han Lau, Ermyas Abebe

Conference Proceedings  |  2017  |  Proceedings of the 26th International Conference on World Wide Web - WWW '17

End-to-end Network for Twitter Geolocation Prediction and Hashing

Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

An automatic approach for document-level topic model evaluation

S Bhatia, JH Lau, T Baldwin

Conference Proceedings  |  2017  |  Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

Decoupling Encoder and Decoder Networks for Abstractive Document Summarization

Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of the Workshop on Summarization and Summary Evaluation Across Source Types and Genres, MultiLing@EACL 2017, Valencia, Spain, April 3, 2017

Abstractive document summarization seeks to automatically generate a summary for a document, based on some abstract “understanding..

Multimodal topic labelling

I Sorodoc, JH Lau, N Aletras, T Baldwin

Conference Proceedings  |  2017  |  15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference

© 2017 Association for Computational Linguistics. Topics generated by topic models are typically presented as a list of topic term..

Topically Driven Neural Language Model

Jey Han Lau, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2017  |  CoRR

Automatic Labelling of Topics with Neural Embeddings

S Bhatia, JH Lau, T Baldwin

Conference Proceedings  |  2016  |  COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning

A Bennett, T Baldwin, J Lau, D McCarthy, F Bond

Conference Proceedings  |  2016  |  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers

The sensitivity of topic coherence evaluation to topic cardinality

JH Lau, T Baldwin

Conference Proceedings  |  2016  |  2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

©2016 Association for Computational Linguistics. When evaluating the quality of topics generated by a topic model, the convention ..

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

J Lau, T BALDWIN

Conference Proceedings  |  2016

Topic Models: Post-Processing and Applications Workshop (TM)

Editorship  |  2015

Unsupervised prediction of acceptability judgements

JH Lau, A Clark, S Lappin

Conference Proceedings  |  2015  |  ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

JH Lau, D Newman, TJ Baldwin

Conference Proceedings  |  2014  |  Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

Representing topics labels for exploring digital libraries

N Aletras, T Baldwin, undefined Jey Han Lau, M Stevenson

Conference Proceedings  |  2014  |  IEEE/ACM Joint Conference on Digital Libraries

Applying a Word-sense Induction System to the Automatic Extraction of Diverse Dictionary Examples

P Cook, M Rundell, JL Lau, T BALDWIN

Conference Proceedings  |  2014

Automatic Detection and Language Identification of Multilingual Documents

M Lui, JH Lau, T BALDWIN

Journal article  |  2014  |  Transactions of the Association for Computational Linguistics

Novel word-sense identification

P Cook, JH Lau, D McCarthy, T BALDWIN

Conference Proceedings  |  2014  |  COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Learning word sense distributions, detecting unattested senses and identifying novel senses using topic models

JH Lau, P Cook, D McCarthy, S Gella, T Baldwin

Conference Proceedings  |  2014  |  52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Unsupervised word sense disambiguation (WSD) methods are an attractive approach to all-words WSD due to their non-reliance on expe..

On collocations and topic models

JH Lau, T Baldwin, D Newman

Journal article  |  2013  |  ACM Transactions on Speech and Language Processing

Unimelb: Topic modelling-based word sense induction for web snippet clustering

JH Lau, P Cook, T Baldwin

Conference Proceedings  |  2013  |  *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

c 2013 Association for Computational Linguistics This paper describes our system for Task 11 of SemEval-2013. In the task, partici..

Unimelb: Topic modelling-based word sense induction

JH Lau, P Cook, T Baldwin

Conference Proceedings  |  2013  |  Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian

M Mistica, J LAU, TJ Baldwin

Conference Proceedings  |  2013  |  Proceedings of the International Joint Conference on Natural Language Processing

On-line trend analysis with topic models: Twitter trends detection topic model online

JH Lau, N Collier, T Baldwin

Conference Proceedings  |  2012  |  Proceedings of the 24th International Conference on Computational Linguistics

Bayesian text segmentation for index term identification and keyphrase extraction

D Newman, N Koilada, JH Lau, T Baldwin

Conference Proceedings  |  2012  |  Proceedings of the 24th International Conference on Computational Linguistics

Word sense induction for novel sense detection

JH Lau, P Cook, D Mccarthy, D Newman, T Baldwin

Conference Proceedings  |  2012  |  Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

Automatic labelling of topic models

JH Lau, K Grieser, D Newman, T Baldwin

Conference Proceedings  |  2011  |  Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT 2011)

Best topic word selection for topic labelling

JH Lau, D Newman, S Karimi, T Baldwin

Conference Proceedings  |  2010  |  Proceedings of the 23rd International Conference on Computational Linguistics

Automatic evaluation of topic coherence

D Newman, JH Lau, K Grieser, T Baldwin

Conference Proceedings  |  2010  |  Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media