[Corpora-List] PhD position in compositional distributional semantics: University of Sussex, UK

Julie Weeds j.e.weeds at sussex.ac.uk
Wed Jan 11 13:44:30 CET 2017

The Department of Informatics at the University of Sussex invites applications for a PhD studentship working in the Text Analytics Group under the supervision of Julie Weeds, in the area of compositional distributional semantics. Expected start date September 2017. Application deadline 27/1/2017.

Traditional distributional similarity methods and more recent work on distributed representations of words learnt by neural networks share the view that a word can be represented by a vector which is determined from the contexts in which it is used. Using the distributional hypothesis, it is then often assumed that words which are distributionally similar are also semantically similar i.e., similar in meaning. Applications which make use of knowledge about the similarity of words include speech recognition, parse selection, information retrieval, information extraction, question-answering and natural language generation. However, important challenges remain in this area.

This project will aim to address at least one of these, which is how to move from similarity at the word level to similarity at the phrase and sentence level. The student would be expected to contribute to the development and evaluation of syntax-sensitive compositional distributional semantic models for use in the application of Question Answering.

The studentship will include a three year stipend at a standard rate (currently 14,296 per annum) and, in addition, fees at the UK/EU rate. Since the studentship only covers fees at the UK/EU rate, overseas applicants are kindly requested to state in their application how they propose to cover the difference between the UK/EU rate and the overseas fees (for more details visit: http://www.sussex.ac.uk/study/phd/fees-and-scholarships).

For more details about how to apply see: http://www.sussex.ac.uk/study/phd/fees-and-scholarships/scholarships/view/704

For informal enquiries about the project - contact: Julie Weeds ( j.e.weeds at sussex.ac.uk)

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