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Professor Michael Witbrock

BSc(Hons) Otago, PhD Carnegie Mellon

Research | Current

Broad AI:

  • Natural Language as a knowledge representation
  • Reasoning with natural language
  • Teaching Deep Learning systems to Reason
  • Natural language understanding and question answering
  • Multimodal and cross modal reasoning
  • AI for Social Good

Michael is building a research group, the Broad AI Lab, at the intersection of machine learning, reasoning and natural language understanding, with an additional focus on achieving the best social and civilizational impacts of increasingly powerful AI.

Postgraduate supervision

Current PhD Students:  Zhenyun DENG, Qianquin QI 

Distinctions/Honours

MRSNZ

Areas of expertise

Artificial Intelligence; AI for Social Good; AI Entrepreneurialism; Natural Language Understanding; Machine Reasoning; Knowledge Representation; Deep Learning

Committees/Professional groups/Services

Executive Council, AI Forum NZ
Chairperson, AI for Good Foundation (ai4good.org)

Selected publications and creative works (Research Outputs)

  • Han, W., Chang, S., Liu, D., Yu, M., Witbrock, M., & Huang, T. S. (2018). Image Super-Resolution via Dual-State Recurrent Networks. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 10.1109/CVPR.2018.00178
  • Karanam, H., Neelam, S., Sharma, U., Bhatia, S., Bedathur, S., Venkata Subramaniam, L., ... Makni, B. (2018). Scalable reasoning infrastructure for large scale knowledge bases. CEUR Workshop Proceedings.
  • Bradeško L, Witbrock, M., Starc, J., Herga, Z., Grobelnik, M., & Mladenić D (2017). Curious Cat--Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition. ACM Transactions on Information Systems, 35 (4), 1-46. 10.1145/3086686
  • Chang, S., Zhang, Y., Han, W., Yu, M., Guo, X., Tan, W., ... Huang, T. S. (2017). Dilated Recurrent Neural Networks.. NIPS.
  • Grobelnik, M., Mladenic, D., & Witbrock, M. J. (2017). Text Mining for the Semantic Web. In C. Sammut, G. I. Webb (Eds.) Encyclopedia of Machine Learning and Data Mining (pp. 1262-1263). Springer.
  • Witbrock, M. (2015). Dense Models from Videos: Can YouTube be the Font of All Knowledge Bases?. Paper presented at 5th ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, PEOPLES R CHINA. 23 June - 26 June 2015. ICMR'15: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL. (pp. 1). 10.1145/2671188.2749414
  • Schneider, D., & Witbrock, M. (2015). Semantic Construction Grammar: Bridging the NL/Logic Divide. Paper presented at 24th International Conference on World Wide Web (WWW), Florence, ITALY. 18 May - 22 May 2015. WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB. (pp. 6). 10.1145/2740908.2741710
  • Witbrock, M., & Bradeško L (2013). Conversational computation. Handbook of Human Computation (pp. 531-543). 10.1007/978-1-4614-8806-4_40

Identifiers

Contact details

Primary office location

SCIENCE CENTRE 303 - Bldg 303
38 PRINCES ST
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

Social links

Web links