NATURALISTIC NATURAL LANGUAGE PROCESSING
This PhD project will explore how linguistic and semantic knowledge is represented within neural network NLP language models. We will investigate the relationship (if any) between trained language models and language processing in the brain, by relating the linguistic representations in the trained models to fMRI neuroimaging data collected as people listened to stories. Insights from the analysis of the NLP models and their relationship to human language processing will be used to build more brain-like or "naturalistic" NLP systems, and to test the performance of these models on standard language understanding benchmarks.
More info: https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/naturalistic-natural-language-processing.html
This 3 year PhD studentship, potentially funded by the Department for Employment and Learning (DfE), commences on 1 October 2020. Eligibility for both fees and maintenance (approximately £15,000) depends on the applicants being either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non-UK residents who hold EU residency may also apply but if successful may receive fees only.
Deadline: 15 March 2020
Further enquiries: b.devereux at qub.ac.uk
-- Barry Devereux, PhD
Lecturer in Artificial Intelligence and Data Analytics The Institute Of Electronics, Communications And Information Technology School of Electronics, Electrical Engineering and Computer Science Queen's University Belfast, Northern Ireland