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, Tree Adjoining Grammar and the Reluctant Paraphrasing of Text, 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
Fingerprint
Dive into the research topics where Mark Dras is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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'Fighting Global Phone Scams with Conversational AI,' Australian Research Council NIS Discovery Project
Kaafar, D., Berkovsky, S., Wood, I., Dras, M. & Selvadurai, N.
21/11/22 → 20/11/25
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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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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Research Outputs
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Elemental psychopathology: distilling constituent symptoms and patterns of repetition in the diagnostic criteria of the DSM-5
Forbes, M. K., Neo, B., Mohamad Nezami, O., Fried, E. I., Faure, K., Michelsen, B., Twose, M. & Dras, M., Apr 2024, In: Psychological Medicine. 54, 5, p. 886-894 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Citations (Scopus)67 Downloads (Pure) -
Finding the balance between lumping and splitting. A response to Martin et al.
Forbes, M. K., Neo, B., Nezami, O. M., Fried, E. I., Faure, K., Michelsen, B., Twose, M. & Dras, M., Oct 2024, In: Psychological Medicine. 54, 13, p. 3758-3759 2 p.Research output: Contribution to journal › Letter
Open AccessFile2 Downloads (Pure) -
Here's a free lunch: sanitizing backdoored models with model merge
Arora, A., He, X., Mozes, M., Swain, S., Dras, M. & Xu, Q., 2024, Findings of the Association for Computational Linguistics ACL 2024. Kerrville, TX: Association for Computational Linguistics, p. 15059-15075 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access1 Citation (Scopus) -
Capturing and predicting user frustration to support a smart operating system
Goodarzy, S., Keller, E., Nazari, M., Rozner, E., Han, R., Dras, M., Lee, Y. C. & Richards, D., 2023, IUI '23 Companion: companion proceedings of the 28th International Conference on Intelligent User Interfaces. New York: Association for Computing Machinery (ACM), p. 29-32 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Clinical named entity recognition and relation extraction using natural language processing of medical free text: a systematic review
Fraile Navarro, D., Ijaz, K., Rezazadegan, D., Rahimi-Ardabili, H., Dras, M., Coiera, E. & Berkovsky, S., Sept 2023, In: International Journal of Medical Informatics. 177, p. 1-21 21 p., 105122.Research output: Contribution to journal › Review article › peer-review
Open AccessFile11 Citations (Scopus)291 Downloads (Pure)
Prizes
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, Abhaya (Recipient), Mahmood, Adnan (Recipient), Beheshti, Amin (Recipient), McIver, Annabelle (Recipient), Bilgin, Ayse (Recipient), Liquet-Weiland, Benoit (Recipient), Svensson, Carl (Recipient), Ramakrishnan, Charanya (Recipient), Smith, Connor (Recipient), Molla-Aliod, Diego (Recipient), Vatsalan, Dinusha (Recipient), Xue, Emma (Recipient), Gupta, Gaurav (Recipient), Sofronov, Georgy (Recipient), Baker, Greg (Recipient), Liu, Guanfeng (Recipient), Asghar, Hassan (Recipient), Doosti, Hassan (Recipient), Zhu, Houying (Recipient), Jiang, Iris (Recipient), Zheng, James (Recipient), Lin, Huan (Recipient), Wu, Jia (Recipient), Ma, Jun (Recipient), Binkowski, Karol (Recipient), Dras, Mark (Recipient), Manuguerra, Maurizio (Recipient), Orgun, Mehmet (Recipient), Lay, Michael (Recipient), Zou, Nan (Recipient), Kordzakhia, Nino (Recipient), Busch, Peter (Recipient), Graham, Petra (Recipient), Schwitter, Rolf (Recipient), Chen, Shan (Recipient), Smith, Stephen (Recipient), Cassidy, Steve (Recipient), Prvan, Tania (Recipient), Fung, Thomas (Recipient), Li, Yan (Recipient), Wang, Yan (Recipient), Zhang, Yang (Recipient) & Zhou, Yipeng (Recipient), 2023
Prize: Other distinction
Activities
- 3 Presentation
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Realistic dialogue and task-effective action for synthetic teammates
Patrick Nalepka (Speaker), James Simpson (Speaker), Hamish Stening (Speaker), Cassandra Crone (Speaker), Ayman Bin Kamruddin (Speaker), Gaurav Patil (Speaker), Rachel Kallen (Speaker), Mark Dras (Speaker) & Michael Richardson (Speaker)
2023Activity: Talk or presentation › Presentation
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Harnessing AI: The future of efficient and effective Defence Training.
Michael Richardson (Speaker), Mark Dras (Speaker), Rachel Kallen (Speaker), Patrick Nalepka (Speaker) & Gaurav Patil (Speaker)
2023Activity: Talk or presentation › Presentation
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Quantifying situation awareness during a competitive team multiplayer video game
Cassandra Crone (Speaker), Ayman Bin Kamruddin (Speaker), James Simpson (Speaker), Hamish Stening (Speaker), Gaurav Patil (Speaker), Patrick Nalepka (Speaker), Rachel Kallen (Speaker), Mark Dras (Speaker) & Michael Richardson (Speaker)
2023Activity: Talk or presentation › Presentation