Lancaster University


Lancaster Summer Schools
in GIS and NLP (#LancsSS18)

Lancaster University, UK – 2nd to 5th July 2018


UCREL Summer School in corpus-based NLP

About the UCREL NLP Summer School

The UCREL Summer School in corpus-based natural language processing (NLP) was a new stream added in 2016 to the highly successful series that began in 2011. Sponsored by UCREL at Lancaster University – one of the world's leading and longest-established centres for corpus-based research – its aim is to support students of computer science and computational linguistics in the development of advanced skills in corpus-based NLP methods. An additional aim is to foster interdisciplinary research and networking via joint sessions with other summer school streams.

Who is the UCREL NLP Summer School for?

The UCREL NLP Summer School is intended primarily for postgraduate computer science and informatics research students (and secondarily for Masters-level students, postdoctoral researchers, and others) who require in-depth knowledge of corpus-based NLP methodologies for their degree projects. Please note that this summer school assumes existing programming knowledge and skills. It is not aimed at raw beginners in coding.

What topics does the UCREL NLP Summer School cover?

The programme consists of a series of linked intensive two-hour sessions, some involving practical work, others more discussion-oriented. The instructors include external guest speakers, as well as speakers from Lancaster University. In the 2018 syllabus, the provisional session titles include:

  • Kalina Bontcheva (University of Sheffield) – Social media analysis with GATE
  • Alistair Baron (Lancaster University) – Authorship analysis for online text
  • Scott Piao (Lancaster University) – Semantic tagging, multilinguality, development and applications
  • Andrew Moore (Lancaster University) – Sentiment analysis
  • Mahmoud El–Haj (Lancaster University) – Text Classification using Machine Learning
  • Daniel Kershaw (Lancaster University and Mendeley) – Large–scale data mining
  • John Mariani and Paul Rayson (Lancaster University) – Poster/demo session for attendees to present their own work

There are additional lectures shared with the other Summer School event.

The full timetable will be made available on this page when completed.

Application: The application process for the 2018 summer schools is now open. Click here to apply online. (The application process closes on 1st May 2018 or when a maximum number of registrations is reached.)

Click here to apply.

N.B.: This Summer School event is free to attend, but registration in advance is compulsory, as places are limited.


This page was last modified on Monday 26 March 2018 at 8:51 pm.