Mobile menu icon
Mobile menu icon Search iconSearch
Search type

Department of Computer Science


Distant learning for information extraction

Primary supervisor

Additional supervisors

  • Phong Le

Contact admissions office

Other projects with the same supervisor

Funding

  • Competition Funded Project (Students Worldwide)

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

James Elson studentship advertisement image

Project description

Distant learning is a major approach to relation extraction. However, it is not widely applied to other subtasks of information extraction, such as mention detection, coreference resolution, and entity linking. These subtasks, like many other machine learning tasks, are still relied on supervised learning, requiring costly manually annotated data.

This project aims at developing an end-to-end distant learning approach to information extraction, to eliminate the need for expensive human annotations. The first step is to build a unifying distant learning architecture for all the subtasks of information extraction. The next step is to apply it to several domains such as bio-medial, construction, and law.

Person specification

For information

Essential

Applicants will be required to evidence the following skills and qualifications.

  • You must be capable of performing at a very high level.
  • You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.

Desirable

Applicants will be required to evidence the following skills and qualifications.

  • You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.
  • You will have good time management.

General

Applicants will be required to address the following.

  • Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
  • How well does your previous study prepare you for undertaking Postgraduate Research?
  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Why do you believe you are suitable for doing Postgraduate Research?