Chancellor's Fellow (≈ Assistant Professor)
Institute for Language, Cognition and Computation
School of Informatics
University of Edinburgh
In my research, I aim to discover computational methods for reasoning about natural language and linguistic structure.
Prospective students who might be interested in working with me: please see the note here. Also, see the new data science Ph.D. programme.
I expect to have a PhD studentship position available for Fall 2015. For more details, see here.
My broad interests are in the intersection of computational linguistics and statistical learning. I am interested in developing ways to computationally reason about structured objects. Such structured objects are prevalent in natural language processing, for example, in syntactic analysis.
Much of my research has relied on capturing the syntax of natural language using probabilistic grammars -- grammars that originate in linguistics and formal language theory, and that have been augmented with a probabilistic interpretation. My most recent work treats the problem of predicting syntactic structures from text using spectral methods (in the supervised or unsupervised settings) and other linear algebraic methods. Most recently, we applied these ideas to machine translation.
Click here for a bio.
We are organising a workshop about vector space modelling in NLP at NAACL 2015 (workshop's website).
|Students and Post-docs|
scohen [strudel] inf.ed.ac.uk
10 Crichton Street
Phone: +44 (0) 131 650 6542