I divide my time between the machine learning and language research groups at Oxford University and Google DeepMind. My research interests lie at the intersection of machine learning and computational linguistics. I apply machine learning techniques, such as deep learning, to a range of problems relating to the analysis and manipulation of language. Recently I have focused on developing algorithms able to imbue artificial intelligence with the ability to understand, ground, generate, and act upon natural language utterances.
I am originaly from Australia, where I completed my PhD at the University of Melbourne under the supervision of Timothy Baldwin, Steven Bird and James Curran. I then came to the United Kingdom as a Research Fellow at the University of Edinburgh. There I worked on the application of machine learning techniques to machine translation with Miles Osborne. Since 2009 I have been at the University of Oxford, both in the Department of Computer Science and as a Fellow of St Hugh's College. Since 2014 I have been splitting my time between Oxford and DeepMind London, where I work with the Natural Language group.
Recurrent Continuous Translation Models
Nal Kalchbrenner and Phil Blunsom
Seattle. October, 2013. Association for Computational Linguistics.
Adaptor Grammars for Learning Non−Concatenative Morphology
Jan A. Botha and Phil Blunsom
In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Pages 345−356. Seattle‚ Washington‚ USA. October, 2013. Association for Computational Linguistics.
The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann and Phil Blunsom
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Pages 894–904. Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics.