Senior Lecturer and ESPRC Early Career Fellow
Machine Learning and Natural Language Processing Groups
Department of Computer Science
University of Sheffield
Telephone: +44 (0114) 2221825
Address: Room 148, Regent Court, Portobello Street, Sheffield S1 4DP, UK
My research interests are in natural language processing (NLP) and
machine learning, focusing on graphical models for structured
prediction and Bayesian inference in general.
Applications include automatic machine translation, parsing, language modelling, summarisation and information extraction.
Previously I worked at Edinburgh University with Mirella Lapata on summarisation, sentence compression and translation. Before that (2003 - 2006) I
did my PhD at Melbourne University supervised by Steven Bird and
Miles Osborne on
inference for Conditional Random Fields (CRFs)
and their application to several NLP tasks.
I am no longer at Sheffield:
I received best paper awards at CICLING 2013 and ACM Hypertext
Predicting and Characterising User Impact on Twitter
Vasileios (Bill) Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro
and Trevor Cohn
A temporal model of text periodicities using Gaussian Processes
Daniel Preoţiuc-Pietro and Trevor Cohn
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
ACL 2013 (demonstrations)
Modelling Annotator Bias with Multi-task Gaussian Processes: An
Application to Machine Translation Quality Estimation
Trevor Cohn and Lucia Specia
A user-centric model of voting intention from Social Media
Vasileios Lampos, Daniel Preoţiuc-Pietro and Trevor Cohn
An Infinite Hierarchical Bayesian Model of Phrasal Translation
Trevor Cohn and Gholamreza Haffari
Markov Translation using Non-parametric Bayesian Inference
Yang Feng and Trevor Cohn
SHEF-Lite: When Less is More for Translation Quality Estimation
Daniel Beck, Kashif Shah, Trevor Cohn and Lucia Specia
An Investigation on the Effectiveness of Features for Translation Quality Estimation
Kashif Shah, Trevor Cohn and Lucia Specia
MT Summit 2013
Adaptation of lecture speech recognition system with machine translation output Raymond Ng, Trevor Cohn, and Thomas Hain ICASSP 2013
Mining User Behaviors: A study of check-in patterns in Location Based Social Networks Daniel Preotiuc-Pietro and Trevor Cohn. ACM Web Science 2013
Where's @wally: A classification approach to Geolocating users based
on their social ties Dominic Rout, Daniel Preotiuc-Pietro,
Kalina Bontcheva, and Trevor Cohn. ACM Hypertext 2013
Ted Nelson Award for Best New-comer
BLEU deconstructed: Designing a Better MT Evaluation Metric Xingyi Song, Trevor Cohn, and Lucia Specia. CICLING 2013
Topic-oriented Words as Features for Named Entity Recognition
Ziqi Zhang, Trevor Cohn, and Fabio Ciravegna. CICLING
2013 Best paper award winner (2nd place) this page for a full
list of my publications, or my Google Scholar page.
2011-2013 Barista: Non-parametric Bayesian Induction for Machine Translation, EPSRC First grant
2012-2013 SLATr: Spoken Language Translation, Google Research Award
2011-2014 TrendMiner: Large-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams, EU FP7 STREP
2012-2012 QuEst: an open source tool for machine translation Quality Estimation, PASCAL2 Harvest
2012-2012 Grammar Induction Challenge, PASCAL2 Challenge
2010 Johns Hopkins Summer Workshop: Unsupervised learning of translation grammars, NSF & Google
2007-2010 Discriminative Phrase-Based Statistical Machine Translation, EPSRC Resources
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.)
I currently have one post-doc, working on machine translation:
Previous staff include
I currently supervise the following PhD students:
Douwe Gelling Inducing latent structure for statistical Machine Translation.
Daniel Preoţiuc-Pietro Temporal models of streaming data.
Xingyi Song Using syntax to model reordering in Machine Translation (with Lucia Specia).
Zsolt Bitvai Text regression for financial analysis and forecasting.
Daniel Beck Kernels for natural language proccessing (with Lucia Specia).
Alvin Pastore Reinforcement learning for behavioural finance (with Eleni Vasilaki).
David Steele Discourse phenomena in Chinese machine translation (with Lucia Specia).
Karin Sim Smith Multilingual modelling of discourse coherence (with Lucia Specia).
I'm always on the lookout for new students. Please email me if you're interested.