Keynote Speakers

• Mark Johnson, Professor of Language Sciences @ Macquarie University
• Doug Oard, Professor @ University of Maryland (shared session with ADCS)

Panelists

• Tim Baldwin, Professor @ University of Melbourne [Moderator]
• Grace Chung, Software Engineering Manager @ Google
• David Hawking, Applied Researcher @ Bing / Microsoft
• Maria Milosavljevic, National Manager Innovation and Technology / CIO @ AUSTRAC
• Doug Oard, Professor @ University of Maryland

Long Papers

• Julio Cesar Salinas Alvarado, Karin Verspoor and Timothy Baldwin. Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment.
• Mahmood Yousefi Azar, Kairit Sirts, Len Hamey and Diego Molla. Query-Based Single Document Summarization Using an Ensemble Noisy Auto-Encoder.
• Jennifer Biggs. Comparison of Visual and Logical Character Segmentation in Tesseract OCR Language Data for Indic Writing Scripts.
• Lance De Vine, Mahnoosh Kholghi, Guido Zuccon, Laurianne Sitbon and Anthony Nguyen. Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction.
• Lan Du, Anish Kumar, Massimiliano Ciaramita and Mark Johnson. Using Entity Information from a Knowledge Base to Improve Relation Extraction.
• Daniel Frost and Shunichi Ishihara. Likelihood Ratio-based Forensic Voice Comparison on L2 speakers: A Case of Hong Kong native male production of English vowels.
• Hamed Hassanzadeh, Diego Molla, Tudor Groza, Anthony Nguyen and Jane Hunter. Similarity Metrics for Clustering PubMed Abstracts for Evidence Based Medicine.
• Shungwan Kim and Steve Cassidy. Finding Names in Trove: Named Entity Recognition for Australian Historical Newspapers.
• Shervin Malmasi and Hamed Hassanzadeh. Clinical Information Extraction Using Word Representations.
• Caroline Mckinnon, Ibtehal Baazeem and Daniel Angus. How few is too few? Determining the minimum acceptable number of LSA dimensions to visualise text cohesion with Lex.
• Kairit Sirts and Mark Johnson. Do POS Tags Help to Learn Better Morphological Segmentations?
• Ping Tan, Karin Verspoor and Tim Miller. Structural Alignment as the Basis to Improve Significant Change Detection in Versioned Sentences.

Short Papers

• Fiona Martin and Mark Johnson. More Efficient Topic Modelling Through a Noun Only Approach.
• Dat Quoc Nguyen, Kairit Sirts and Mark Johnson. Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling.
• Joel Nothman, Atif Ahmad, Christoph Breidbach, David Malet and Tim Baldwin. Understanding engagement with insurgents through retweet rhetoric.
• Sam Shang Chun Wei and Ben Hachey. A comparison and analysis of models for event trigger detection.

Presentations

• Andrew MacKinlay, Antonio Jimeno Yepes and Bo Han. A System for Public Health Surveillance using Social Media.
• Trevor Cohn. Unlimited order Language Modeling with Compressed Suffix Trees.
• Ben Hachey, Anaïs Cadilhac and Andrew Chisholm. Entity linking and summarisation in a news-driven personal assistant app.
• Kellie Webster and James Curran. Challenges in Resolving Nominal Reference.