The overarching goal of this project is to develop reading and reasoning machines that perform tasks that require deeper understanding of language, such as question answering, automatic fact checking and passing science exams. Towards this end we will develop methods that integrate latent variable and deep models with expressive symbolic approaches [1,2,3].
The associate will be part of the UCL Machine Reading lab in the Computer Science department, an eight-person group that is rapidly expanding. The lab is affiliated with the Centre for Computational Statistics and Machine Learning (bringing together CS, the Gatsby unit and Statistics department). He or she will be physically located on the UCL Bloomsbury campus in the heart of London. Several close links to relevant industry in London exists (BBC, Google, Microsoft, Google Deepmind), as well as to the vibrant academic NLP scene in the South England Area (Cambridge, Oxford, Sussex...).
 http://www.riedelcastro.org/publications/details/riedel13relation.html  https://rockt.github.io/pdf/rocktaschel2015injecting.pdf  https://arxiv.org/abs/1605.06640
The post is funded by an Allen Distinguished Investigator award to Dr. Riedel for research on machine reading, awarded by the Paul G Allen Family Foundation.
For more information, and to apply, please go to: http://tinyurl.com/goobky3
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