Tutorial Fellow, St Hugh's College
My research interests lie at the intersection of machine learning and computational linguistics. I apply machine learning techniques, such as graphical models, to a range of problems relating to the understanding, learning and manipulation of language. Recently I have focused on structural induction problems such as grammar induction and learning statistical machine translation models.
Previously I was a Research Fellow in the School of Informatics at the University of Edinburgh, and part of the Machine Translation research group. There I worked on the application of machine learning techniques to machine translation with Miles Osborne. Before that I completed my PhD at the University of Melbourne, Australia, under the supervision of Timothy Baldwin, Steven Bird and James Curran.
Oxford's Computational Linguistics group will have a strong presence in some of this summer's top-tier computational linguistics conferences and associated workshops.
"Not not bad" is not "bad": A distributional account of negation
Karl Moritz Hermann‚ Edward Grefenstette and Phil Blunsom
In Proceedings of the 2013 Workshop on Continuous Vector Space Models and their Compositionality. August, 2013.
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). Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics.
On Assessing the Accuracy of Positioning Systems in Indoor Environments
Hongkai Wen‚ Zhuoling Xiao‚ Niki Trigoni and Phil Blunsom
In 10th European Conference on Wireless Sensor Networks (EWSN'13). Ghent‚ Belgium. 2013.