Overview

Applications are invitedfor a PhD studentship funded by a 5-year
European Research Council (ERC) Advanced Grant awarded to prof. Massimo
Poesio called DALI: Disagreements in Language Interpretation, a
collaboration between Queen Mary University and the University of Essex:

http://www.dali-ambiguity.org

The project will address a fundamental question for computational
linguistics, psycholinguistics and theoretical linguistics: namely, the
extent to which humans disagree on language interpretation (in
particular, on the interpretation of anaphoric expressions), and the
implications of such disagreements, e.g., on the development of
computational models of anaphoric interpretation. We will do this by
using online games-with-a-purpose to collect numerous interpretations
for very large numbers of anaphoric expressions, building on the
successful experience with the Phrase Detectives GWAP; by analyzing
these data using Bayesian annotation models; and by developing
computational methods for anaphora resolution taking disambiguation into
account.

The objective of the PhD studentship is to tackle one of the many
problems in the semantics of anaphora and anaphora resolution /
coreference unearthed in the anaphoric data already collected through
the Phrase Detectives game and by the new games that will be developed
in the project. We are looking for outstanding research potential and a
background either in machinelearning for NLP or in computational
semantics / computational approaches to discourse.

Company:

Queen Mary University

Qualifications:

Candidates should have an outstanding research potential and a
background in Computational Linguistics achieved first class honours
degree or equivalent (and preferably a Masters degree) in Computer
Science, Computational Linguistics, Linguistics, or a related field.
Familiarity with computational and/or formal semantics and with
computational and linguistic approaches to anaphora strongly
preferred.Strong programming skills in Python or R crucial.

Educational level:

Master Degree

How to apply:

Please mention NLP People as a source when applying

To apply please follow the on-line process
http://www.qmul.ac.uk/postgraduate/howtoapply/by selecting ‘Computer
Science’ in the ‘A-Z list of research opportunities’ and following the
instructions on the right hand side of the web page.

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About Queen Mary University of London

Queen Mary University of London is one of the UK's leading research-focused higher education institutions. Amongst the largest of the colleges of the University of London, Our 4,000 staff deliver world-class degree programmes to 18,000 students. Our research specialisms cross a wide range of subjects in Humanities and Social Sciences, in Medicine and Dentistry and in Science and Engineering. As a London university, we are unique in being able to offer a completely integrated residential campus, with a 2,000-bed award-winning Student Village on its Mile End site.