# CV

## Education

• [2013]  Ph.D., Engineering Science (Computer)
• The University of Melbourne
• Supervisors: Tim Baldwin and David Newman
• [2008]  B.E., Software Engineering
• The University of Melbourne
• First Class Honours

## Appointments

• [2019—present]  Lecturer
• The University of Melbourne, School of Computing and Information Systems
• [2015—2019]  Research Staff Member
• IBM Research Australia
• [2013—2015]  Research Associate
• King’s College London
• Supervisors: Shalom Lappin and Alexander Clark
• [2008—2011]  Software Developer
• Transtech Consulting Service

## Grants

• [2017—2022] Industrial Transformation Training Centre on Cognitive Computing for Medical Technologies (AUD$4.1M) • Australian Research Council (ARC) • Partner Investigator, joint with T. Baldwin, D. Freestone, D. Grayden, C. Masters, K. Verspoor, M. Cook, A. Burkitt, T. Cohn, J. Bailey, I. Mareels, T. Kalincik, A. van Schaik; M. McDonnell, L. Cavedon, J. Batstone, S. Harrer, N. Faux, A. Jimeno Yepes, C. Butler, B. Goudey, U. Asif, J. Tang, B. Mashford, P. Maruff • [2014] Learning Word Sense Distributions for Wordnets of the World’s Languages (USD$10K)
• Partner Investigator, joint with T. Baldwin, F. Bond and P. Cook
• [2013—2015]  Personalised Topic Modelling and Sentiment Analysis for Enhanced Information Discovery over Document Streams (AUD\$195K)
• Australian Research Council (ARC) Linkage Project
• Partner Investigator, joint with T. Baldwin, J. Wells and D. Johnson

## Publications

• [2019]  Discovering Relevant Reviews for Answering Product-related Queries. In Proceedings of the 19th IEEE International Conference on Data Mining (ICDM 2019).
• [2019]  From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. In Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association.
• [2019]  Improved Document Modelling with a Neural Discourse Parser. In Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association.
• [2019]  Early Rumour Detection. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics — Human Language Technologies (NAACL HLT 2019).
• [2018]  Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018).
• [2018]  The Influence of Context on Sentence Acceptability Judgements. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018).
• [2018]  Duplicate Detection in Programming Question Answering Communities. In ACM Transactions of Internet Technology.
• [2018]  Topic Intrusion for Automatic Topic Model Evaluation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).
• [2018]  Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text.
• [2017]  End-to-end Network for Twitter Geolocation Prediction and Hashing. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).
• [2017]  Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge. In Cognitive Science.
• [2017]  An Automatic Approach for Document-level Topic Model Evaluation. In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL-2017).
• [2017]  Topically Driven Neural Language Model. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017).
• [2017]  Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. In Proceedings of the 26th International Conference on World Wide Web (WWW 2017).
• [2017]  Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. In Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres.
• [2017]  Multimodal Topic Labelling. In Proceedings of the 15th Conference of the EACL (EACL 2017).
• [2017]  Evaluating Topic Representations for Exploring Document Collections. In Journal of the Association for Information Science and Technology.
• [2016]  Automatic Labelling of Topics with Neural Embeddings. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016).
• [2016]  An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. In Proceedings of the 1st Workshop on Representation Learning for NLP.
• [2016]  LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016).
• [2016]  The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics — Human Language Technologies (NAACL HLT 2016).
• [2015]  Unsupervised Prediction of Acceptability Judgements. In Proceedings of the Joint conference of the 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 (ACL-IJCNLP 2015).