My research interests are in natural language processing (NLP) and machine learning, focusing on graphical models for structured prediction and Bayesian inference.
Applications include automatic machine translation, parsing, language modelling, summarisation and information extraction.
Before September 2009, I worked at Edinburgh University as a Research Fellow for Mirella Lapata on models of text rewriting (summarisation, sentence compression and translation). Before that (2003 - 2006) I
did my PhD at Melbourne University supervised by Steven Bird and
Miles Osborne on developing novel
approximate inference algorithms for Conditional Random Fields (CRFs) to enable
their application to various NLP tasks.
News
We are hiring:
A PhD
position in machine learning and financial modelling. The role
will be co-supervised with Eleni Vasilaki.
Applications due
15 May 2013.
The machine translation group are recruiting two PhD
Positions in Machine Translation. Open deadline until filled, however we intend to interview mid May 2013.
I received a best paper awards at CICLING 2013 and ACM Hypertext
2013, details below.
Publications
Recent publications:
Reducing Annotation Effort for Quality Estimation via Active Learning
Daniel Beck, Lucia Specia and Trevor Cohn ACL 2013 (short papers)
QuEst - A translation quality estimation framework
Lucia Specia, Kashif Shah, Jose Guilherme Camargo de Souza and Trevor
Cohn ACL 2013 (demonstrations)
For anything else mentioned in any of my papers, just ask!
I ran a workshop on inducing structure from text at NAACL:HLT
2012 which included a PASCAL challenge competition on Grammar and
Part-of-Speech induction (see the webpage for the datasets.)
Staff
I have three post-docs, working machine translation and social network analysis projects.
