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Dr

Jey Han Lau

Lecturer In Nlp
Computing And Information Systems
Deep Learning
Generation
science & technology
computer science
technology
computer science, information systems
computer science, interdisciplinary applications
computer science, artificial intelligence
computer science, theory & methods
Jey Han Lau's Profile Picture
Dr

Jey Han Lau

 
Division
Engineering
 
Primary Interest
Natural Language Processing
Jey Han Lau's Profile Picture
Dr

Jey Han Lau

 
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Jey Han's  Short Profile
 

My research is in the intersection of machine learning and language, and I have a particular interest in language generation — tasks that require machine learning models to produce language, e.g. summarisation and story generation — and unsupervised learning — learning where supervision signal is not available.

Prior to joining the University of Melbourne, I spent over 3.5 years as an industry scientist at IBM Research, developing solutions for clients in application domains from education to government. Parallel to this, I was active in research and collaborated with universities around the world, and in recognition of my scientific achievements I was awarded a research accomplishment prize by IBM in 2019.

Projects

Displaying the 2 most recent projects by Jey Han Lau.

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Personalised Topic Modelling and Sentiment Analysis for Enhanced Information Discovery over Document Streams

This project will develop personalised information discovery, navigation and management systems of online content for the creative industrie..

2013 - 2017
Completed
Project icon

Personalised Topic Modelling and Sentiment Analysis for Enhanced Information Discovery over Document Streams

This project will develop personalised information discovery, navigation and management systems of online content for the creative industrie..

2013 - 2017
Completed

2

Projects

Project Types

2

Research Grant

Scholarly Works

Displaying the 10 most recent scholarly works by Jey Han Lau.

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'Deep-speare' crafted Shakespearean verse that few readers could distinguish from the real thing

JH Lau, T Cohn, T Baldwin, A Hammond

Journal article  |  2020  |  IEEE Spectrum

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Discovering relevant reviews for answering product-related queries

S Zhang, JH Lau, X Zhang, J Chan, C Paris

Conference Proceedings  |  2020  |  2019 IEEE International Conference on Data Mining (ICDM)

With the increasing popularity of e-commerce, the number of product-related queries generated by customers is growing. Answering t..

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Topic Intrusion for Automatic Topic Model Evaluation

Shraey Bhatia, Jey Han Lau, Timothy Baldwin

Conference Proceedings  |  2020  |  Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018

Topic coherence is increasingly being used to evaluate topic models and filter topics for enduser applications. Topic coherence me..

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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 ..

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Early Rumour Detection

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

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

Rumours can spread quickly through social media, and malicious ones can bring about significant economical and social impact. Moti..

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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)

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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

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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

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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  |  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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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

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Scholarly Works

Keyword Analysis

Artificial Intelligence and Image Processing
Computer Software and Services
Linguistics
Expanding Knowledge
Other Information and Communication Services
Information Services
Library and Information Studies
Cognitive Sciences
Distributed Computing
Other Information and Computing Sciences

Credentials

Positions

Positions

Lecturer In Nlp

Computing And Information Systems

Member

Association for Computational Linguistics

Education

Education

PhD of Engineering (Computer)

University of Melbourne

Links

Links