Projects per year
Personal profile
Research interests
I work in natural language processing (NLP) / language technology / computational linguistics, and am a member of the School of Computing's Machine Learning and Natural Language Processing research group.
For more information, please see:
- my personal webpage, and
- my Google Scholar profile.
Education/Academic qualification
Natural Language Processing, PhD, Macquarie University
Award Date: 1 Apr 2000
Computer Science, BSc(hons), Macquarie University
Award Date: 1 Apr 1993
Actuarial Studies, BEc
Award Date: 1 Apr 1991
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Network
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Developing Robust Coordination and Communication Models for Multiagent Human-Machine Systems
Richardson, M., Dras, M. & Kallen, R.
1/11/22 → 31/10/24
Project: Research
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Mathematical foundations for Privacy-preserving techniques and Obfuscation in Text Analytics
McIver, A., Dras, M., Kaafar, M. A., Messerle, B. & Seneviratne, A.
14/08/17 → 31/12/23
Project: Research
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Capital Markets CRC PhD Scholarship (Leonardo dos Santos Pinheiro)
Dras, M. & dos Santos Pinheiro, L.
11/08/17 → …
Project: Research
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Applications of Native Language Identification: Security, Privacy and Language Learning
1/07/17 → …
Project: Research
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Assessing team effectiveness by how players structure their search in a first-person multiplayer video game
Nalepka, P., Prants, M., Stening, H., Simpson, J., Kallen, R. W., Dras, M., Reichle, E. D., Hosking, S. G., Best, C. & Richardson, M. J., Oct 2022, In: Cognitive Science. 46, 10, p. 1-32 32 p., e13204.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)11 Downloads (Pure) -
Conversation dynamics in a multiplayer video game with knowledge asymmetry
Simpson, J., Nalepka, P., Kallen, R. W., Dras, M., Reichle, E. D., Hosking, S. G., Best, C., Richards, D. & Richardson, M. J., 3 Nov 2022, In: Frontiers in Psychology. 13, p. 1-16 16 p., 1039431.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
Deep reinforcement learning guided graph neural networks for brain network analysis
Zhao, X., Wu, J., Peng, H., Beheshti, A., Monaghan, J. J. M., McAlpine, D., Hernandez-Perez, H., Dras, M., Dai, Q., Li, Y., Yu, P. S. & He, L., Oct 2022, In: Neural Networks. 154, p. 56-67 12 p.Research output: Contribution to journal › Article › peer-review
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DesertWoZ: a Wizard of Oz environment to support the design of collaborative conversational agents
Simpson, J., Stening, H., Nalepka, P., Dras, M., Reichle, E. D., Hosking, S., Best, C. J., Richards, D. & Richardson, M. J., 2022, CSCW '22: Conference companion publication of the 2022 Computer Supported Cooperative Work and Social Computing. New York, NY: Association for Computing Machinery, p. 188-192 5 p. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
1 Citation (Scopus) -
Few-shot fine-tuning SOTA summarization models for medical dialogues
Fraile Navarro, D., Dras, M. & Berkovsky, S., Jul 2022, The 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Student Research Workshop. Stroudsburg, PA, USA: Association for Computational Linguistics (ACL), p. 254-266 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile1 Citation (Scopus)5 Downloads (Pure)