Dr Stephen Anthony

Research Fellow

Ph.D. USyd, B.Sc. Honours USyd

School/Unit

Biomedical Text Processing Group
Centre for Health Informatics

Broad Research Areas

Biomedical Text Processing
Decision Support Systems
Health Information Systems
Machine Learning
Natural Language Processing

Specific Research Keywords

Biological Event Extraction
Clinical Prediction
Computational Pragmatics
Discourse and Dialogue
Distributed Search Technologies
Document Classification
Information Retrieval
Named Entity Recognition
Semantic Analysis
Text Summarisation
Question Answering and Generation

Research Interests

Stephen's research interests span a number of sub-areas within the field of Natural Language Processing including biomedical text mining, ontology, discourse and dialogue modelling for conversational agents, thesaurus and lexicon extraction, word sense disambiguation, and semantic role labelling. Recent research contributions are in the area of information extraction and semantic classification of sentences in the medical domain for Evidence-based Medicine. This includes the development of a framework for automatically extracting key facts and findings from clinical trials potentially useful for decision support at point-of-care, multi-document summarisation, question answering, search, and related activities.

Society Memberships & Professional Activities

Association for Computational Linguistics (ACL)
American Medical Informatics Association (AMIA)
Special Interest Group on Computational Semantics (SIGSEM)
Special Interest Group on Discourse and Dialogue (SIGDIAL)

Funding Sources

ARC Discovery Grant
Faculty of Medicine Research Grant

Key works/Publications

Anthony, S., V. Sintchenko, and E. Coiera. Separating Drivers from Passengers in Whole Genome Analysis: Identification of Combinatorial Effects of Genes by Mining Knowledge Sources. The Third International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, Venice, Italy, 2011.

Lin, F., S. Anthony, T. Polasek, G. Tsafnat, M. Doogue, and E. Coiera. BICEPP: An Example-Based Statistical Text Mining Framework for Predicting the Binary Characteristics of Drugs. BMC Bioinformatics, 2011.

Sintchenko V., S. Anthony, and E. Coiera. Converting Pathogen Whole Genome Sequencing into Clinically Actionable Data. AMIA Summit on Translational Bioinformatics, San Francisco, USA, 2011.

Sintchenko V., S. Anthony, P. Hieu, F. Lin, and E. Coiera. A PubMed-Wide Associational Study of Infectious Diseases. PLoS ONE, 2010.

Anthony S., V. Sintchenko, and E. Coiera. Text Mining for Discovery of Host-Pathogen Interactions. In Infectious Disease Informatics, V. Sintchenko (Ed.), Springer, 2010.

Anthony S. Question-Based Semantics: Expectations and Explanations. Ph.D. Dissertation, School of Information Technologies, The University of Sydney, Australia, 2009.

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Dr. Stephen Anthony

Research Fellow

Centre for Health Informatics
WS 23
Level 1 AGSM
University of New South Wales
SYDNEY NSW 2052

T +61(2) 9385 8890
F +61(2) 9385 8692
E s.anthony@unsw.edu.au